Positive Thinking

Positive thinking leads a man to success. One who thinks that he can achieve the things, will put his best to achieve, will not fetter by the problems in the path of success and one day he will win positively. Self confidence, determination, perseverance, and hard work are the key factors of success. Every small or big, easy or complex problem have its solution. There is a way out of every labyrinth, there is an answer to every enigma. The only requirements are the confidence, hard work and determination and you get the answer. Where there is a will, there is a way. If you find any problem, a typical one, don’t lose heart, go ahead and devote yourself fully, analyze each aspect, and get the problem solved. Every invention taken place so far, were riddled with many unfound answers, but the inventor’s zeal and perseverance found the solution and a new invention took place. For a confident person, the word ‘impossible’ is no where in his dictionary. A determined and dedicated person finds way in all complexities undaunted by the initial problems and failures he keeps on finding solution to every teaser and one day he achieves his cherished goal. Dedication, devotion to the task and positive thinking with determination have been the important factors of success of every successful celebrity. Take the recent example Mrs. Sonia Gandhi, the widow of Prime Minister Rajeev Gandhi, participated and campaigned in the Lok Sabha election 2004, undaunted by the criticism, personal attacks and all kinds of perversities she went alone campaigning alone without having any other ‘Star’ campaigner, covered almost the whole of the country against the BJP and showed the world that congress got the majority. She has shown her unflinching determination, unfettered self confidence, dedication and devotion to the cause without worrying for the results and she is the winner. Every Tom and dick had questioned her nationality, her foreign origin, but she cared a fig for all criticism and showed her caliber. Life is a battle, one has to fight it fearlessly. Fight with confidence, positive attitude, right aptitude, with determined and concentrated efforts, leads to the surest path of success. Fortune is said to favor the brave. God also help those who help themselves. A coward, a pessimist dare not even to fight in the race, it is an optimist and determined soul, who dares to fight, has the chance of success. A winner never quits and a quitter never wins shows that one who constantly tries to achieve something, one who endeavors hard incessantly to achieve something, he is the winner, later or sooner, but a quitter could never be a winner. When Vallabhbhai Patel told that’ Swaraj is my birth right’ so many people find it mere a slogan, but the incessant struggle put by all the freedom fighters supported the claim of Patel and we could win the freedom. Organizing the efforts properly, in right direction, striking at the opportune time, are essential for achieving a target. Optimism, determination, undaunted will power makes every impossible task possible. Confidence is the most important key to success. It boosts the morale and creates determination to attain a goal. The loss of confidence makes a man pessimist, coward or a dead man. The importance of ‘right deeds’ is well emphasized in Bhagwat Geeta: Lord Krishna tells Arjun to follow the path of righteousness, the path of dedication, Do Karma, don’t think about the result, the God is Omnipresent, Omnipotent, the results as per your deeds will follow. It should also be remembered that the positive and constructive thoughts which aims for the betterment of mankind are met with success. It should not be riddled with self aggrandizement evil thoughts never bear good results. Your biggest assets are your enthusiasm that enriches with your positive thinking. Never lose hope, keep cheerful put the best possible efforts with your total involvement, have confidence in you and you are the winner. Through positive thinking one can overcome the mountains. One who always think positively even in adverse circumstances wins. Positive thinking always pays. Life belongs to the ambitions. Positive Thinking Positive thinking leads a man to success. One who thinks that he can achieve the things, will put his best to achieve, will not fetter by the problems in the path of success and one day he will win positively. Self confidence, determination, perseverance, and hard work are the key factors of success. Every small or big, easy or complex problem have its solution. There is a way out of every labyrinth, there is an answer to every enigma. The only requirements are the confidence, hard work and determination and you get the answer. Where there is a will, there is a way. If you find any problem, a typical one, don’t lose heart, go ahead and devote yourself fully, analyze each aspect, and get the problem solved. Every invention taken place so far, were riddled with many unfound answers, but the inventor’s zeal and perseverance found the solution and a new invention took place. For a confident person, the word ‘impossible’ is no where in his dictionary. A determined and dedicated person finds way in all complexities undaunted by the initial problems and failures he keeps on finding solution to every teaser and one day he achieves his cherished goal. Dedication, devotion to the task and positive thinking with determination have been the important factors of success of every successful celebrity. Take the recent example Mrs. Sonia Gandhi, the widow of Prime Minister Rajeev Gandhi, participated and campaigned in the Lok Sabha election 2004, undaunted by the criticism, personal attacks and all kinds of perversities she went alone campaigning alone without having any other ‘Star’ campaigner, covered almost the whole of the country against the BJP and showed the world that congress got the majority. She has shown her unflinching determination, unfettered self confidence, dedication and devotion to the cause without worrying for the results and she is the winner. Every Tom and dick had questioned her nationality, her foreign origin, but she cared a fig for all criticism and showed her caliber. Life is a battle, one has to fight it fearlessly. Fight with confidence, positive attitude, right aptitude, with determined and concentrated efforts, leads to the surest path of success. Fortune is said to favor the brave. God also help those who help themselves. A coward, a pessimist dare not even to fight in the race, it is an optimist and determined soul, who dares to fight, has the chance of success. A winner never quits and a quitter never wins shows that one who constantly tries to achieve something, one who endeavors hard incessantly to achieve something, he is the winner, later or sooner, but a quitter could never be a winner. When Vallabhbhai Patel told that’ Swaraj is my birth right’ so many people find it mere a slogan, but the incessant struggle put by all the freedom fighters supported the claim of Patel and we could win the freedom. Organizing the efforts properly, in right direction, striking at the opportune time, are essential for achieving a target. Optimism, determination, undaunted will power makes every impossible task possible. Confidence is the most important key to success. It boosts the morale and creates determination to attain a goal. The loss of confidence makes a man pessimist, coward or a dead man. The importance of ‘right deeds’ is well emphasized in Bhagwat Geeta: Lord Krishna tells Arjun to follow the path of righteousness, the path of dedication, Do Karma, don’t think about the result, the God is Omnipresent, Omnipotent, the results as per your deeds will follow. It should also be remembered that the positive and constructive thoughts which aims for the betterment of mankind are met with success. It should not be riddled with self aggrandizement evil thoughts never bear good results. Your biggest assets are your enthusiasm that enriches with your positive thinking. Never lose hope, keep cheerful put the best possible efforts with your total involvement, have confidence in you and you are the winner. Through positive thinking one can overcome the mountains. One who always think positively even in adverse circumstances wins. Positive thinking always pays. Life belongs to the ambitions.

Dangers in the Environment Essay

The Dangers within the Environment are affecting our health to means that we wouldn’t believe. We destroy our planets ozone that affects and causes global warming. The pesticides, mercury and carbon dioxide that we release into the environment cause so many health problems to use and our children. It actually affects our children’s health more than it does to use. How can we do this to our environment knowing that it affects our health more and more. Dangers with in our Environment The dangers within the environment that affect our health are increasing day by day. The first thing that is we are doing to the environment is destroying our ozone layer. We are destroying the ozone layer by greenhouse gases. The way we treat our planet is going to affect our health and maybe even kill us because of the toxins and pollutants that we release into our environment. Certain types of pollutants that we release into the environment can cause us to have several complications with our health. The pesticides, mercury and carbon dioxide that we release into the environment cause so many health problems to use and our children. It is not hard to see what we are doing to our planet on a daily basis. There is so much research that shows how much even low level of air pollution affects our health. Carbon dioxide is what we breathe out of our lungs when exhaling. Carbon dioxide is released while we are driving our motor vehicles, using our lawn mowers, and etc. For the one gallon of gasoline that is used in our machines it causes 19. of carbon dioxide to distribute into our environment. Trees absorb the carbon dioxide from the air but if the tree is cut down, burned, or dies then the carbon dioxide will not be absorbed up. When a tree slowly rots then the carbon dioxide is slowly released back into the environment. The pesticides that are toxic to our health and our environment are chemical pesticides. The chemical pesticides that is more dangerous to be farmers, their family members, and other people who use the chemical pesticides. The pesticides are released into the air that we breathe in. The pesticides are left on the produce that they are sprayed on and then remain on the inside of the produce. The pesticides can be rinsed off, but they also can run off into springs, and large bodies of water. In which the pesticides can contaminate our water supply. In the world today everyone is at risk for simple reason that we are destroying our planet. Our world is at a total disaster at how we treat it and take care of it. Individuals that live in the world are at risk form pollutants and toxins that are in the environment that we breathe on a daily basis. The pesticides, mercury and carbon dioxide that we release into the environment cause so many health problems to use and our children. We need to take better care of our environment and worry about our health. People do not care about their health because if they did then they will not smoke cigarettes that affect their health and our environment. If we would save from driving all over the place in our vehicles when you could ride a bike or walk. It could help save our environment from pollutants being disbursed into the air that we breathe.

Beethoven Pastoral Symphony Essay Example for Free

Beethoven Pastoral Symphony Essay Beethoven was one of the pivotal composers that helped music evolve from the Classical period into the age of Romanticism. When discussing Beethoven’s success in classical compositions, his symphonies are at the forefront of most if not every conversation. However, even within the topic of his symphonies, some are naturally highlighted more than others. For example, one could reproduce the melody from either the opening movement of the Fifth or the finale of the Ninth and a majority of people would be able to recognize them. While these two works were revolutionary in the progression of symphonic music, they were not the only ones to have played important roles in this sense. Beethoven’s Pastoral Symphony is a pivotal work in the expansion of music with programmatic characteristics. However, this symphony is one that sways between the realms of absolute and program music, for it can be identified with both categories of symphonic music. While it is highly unlikely that Beethoven viewed this composition as a truly programmatic piece, the Sixth Symphony has played an important role in the development of the symphony as a genre and influenced future composers of program music as well. In order to discuss the significance of the Pastoral Symphony, one must first shed light on the difference of program music from that of absolute music. Author R. W. S. Mendl describes absolute music as being â€Å"that which gives us pleasure by the sheer delight in sound patterns without having any emotional, pictorial, or literary references† and claims that music with programmatic content â€Å"attempt[s] to represent scenes, objects, or events which exist apart from music.† It is hard to gauge the amount of programmatic works prior to the Pastoral Symphony, simply due to the fact that the term â€Å"program music† was not used as a defining category of music at the time of their release. An estimated eighth of all symphonic works that were presented before Beethoven’s Sixth Symphony were composed with the intent of conveying particular images or scenes. It would seem that with such a small percentage of varying works that were composed to contain prog rammatic ideas, labeling these works with a universal genre proved to be somewhat difficult. With the expansion of this style of writing, naturally the encompassing term â€Å"program music† would become associated with such pieces. Around the time of Beethoven’s composing, music was undergoing a shift from the Classical period into an age of Romanticism. Compositions were expanding in numerous ways regarding form, orchestration, and harmonies that were being implemented. Beethoven has been called â€Å"the innovator who broke through the limitations of Classicism without abandoning them.† This is truly evident through his symphonic writing. While on the cusp of the Romantic era, it became evident to him that the stature of absolute music was on the rise. Lewis Lockwood states that from a compositional aspect, Beethoven looked down upon ‘program music’ for its seemingly shallow representation of actual sounds and lack of originality. In response to this rising style of music, he composed the Pastoral Symphony with the intent of merging illus trative ideas of programmatic music with the structure of absolute music. Beethoven successfully achieved a blend of programmatic and absolute ideas with this symphony, in order to create an overall pastoral feeling of nature rather than depict any specific image. While the symphony and its five movements are labeled with titles that were created by Beethoven himself, he believed that the overall pastoral idea of this work could be perceived by the audience without a description that would usually be necessary with a complete program piece. It is this idea that helped Beethoven create the title as it can be viewed on early sketches, â€Å"Pastoral Symphony or Memories of Country Life: More the Expression of Feeling than Tone-Painting.† It would appear that Beethoven intended to create a general mood that expresses the idea of nature rather than rely on specific images or one precise story to achieve this. Despite Beethoven’s general feelings towards program music and his conscious efforts to claim that the Sixth Symphony was more a collection of overall feelings rather than an attempt at creating one specific image, this piece is neither absolute or programmatic music but a blend of the two styles. The first point in this argument would be the fact that Beethoven attached titles to each of the five movements within this symphony that depict certain scenes associated with pastoral ideas. The headings for the movements are as follow: ‘Pleasant feelings which are awakened in mankind on arrival in the country’, ‘Scene by the brook’, ‘Joyful fellowship of country folk’, ‘Thunder and Storm’, and ‘Beneficent feeling after the storm joined with thanks to the deity’. The mere fact that this symphony is the only one of his nine to contain subtitles attached to each movement that describe a scene of nature favors the thought of the symphony being more programmatic than absolute. However, if one were to look past the movement headings and take into consideration the content of the music, one would observe that the first two movements contain very little defined imagery. From an analytical perspective of the form, the first ha lf of the symphony is rather conventional and resembles the absolute approach to music. These movements hold true to the subheading for the symphony in regards to creating overall feelings rather than one precise painting or story. While there are compositional devices used to help convey the pastoral feeling within the first half of the symphony, it is not until the end of the second movement that Beethoven truly utilizes extra musical associations to convey imagery. This andante movement entitled ‘Scene by the brook’ ends with the flute, oboe, and clarinet engaged in a coda while imitating birdcalls. The composer himself labeled these three woodwind voices as a nightingale, a quail, and a cuckoo, respectively. These birdcalls have led to several debates, discussions, and even complete articles that attempt to analyze the true meaning of their existence in the piece. No matter how they are interpreted, one fact remains still. The birdcalls act as segues from the symphonic first half to the more programmatic portion of the piece. The second half of the Sixth Symphony ventures away from conventional symphonic composing techniques found in the first two movements and includes more programmatic material. A strong indication of programmatic material resides within the later half of the symphony, where Beethoven includes several pastoral elements to enhance the musical imagery. The third movement consists of excited melodies in a compound-meter stylized scherzo representing country-dances. There are several points within this movement that have a drone in the bass that has been viewed as a depiction of bagpipes, an instrument that was frequently associated with the representation of pastoral ideas. This jovial dance-like movement transitions into the fourth movement, which resembles a storm. The storm is â€Å"clearly an example of tone-painting† with its explosive minor chords that represent thunder and lightning and the constant patter of rain in the strings’ lines. Another significant feature added to the symphony that aids the pastoral image is the use of a ranz des vaches in the final movement. The ranz des vaches was an alpine horn call that herdsmen used to summon cattle. Author, David Wyn Jones notes in his book that â€Å"common features of ranz des vaches melodies are: triadic motion, dotted 6/8 meter†¦frequent use of grace notes, all harmonized mainly by the tonic triad.† While looking at the horn call that Beethoven uses within his symphony, one would notice that it meets all of the criteria that Jones listed. The imagery associated with the Pastoral Symphony depicts scenes from nature, which was a subject close to Beethoven’s heart. Through journal entries and letters, one can deduce Beethoven’s love for nature. The following is a letter to Austrian musician and friend, Therese Malfatti in 1810 that depicts his feelings about the outdoors: How fortunate you are to have been able to go to the country so early in the year! Not before the 8th shall I be able to enjoy this delight: I look forward to it with childish anticipation. How glad I shall be to wander about amidst shrubs, forests, trees, herbs and rocks! No man can love the country as I do. For it is forests, trees and rocks that provide men with the resonance they desire. Through this letter and several other firsthand records, one can clearly see Beethoven’s infatuation for the outdoors and the justifiable reason to compose a piece that commemorates this love. It makes sense that the first large-scale work that includes extensive amounts of imagery would reflect the thing that he admired most. Along with the simple beauty of nature, there were other factors that influenced Beethoven while writing his Sixth Symphony. The inclusion of nature and rustic ideas within music was not uncommon to composers prior to Beethoven. Pastoral subjects could be found in several theatrical presentations, operas, and intermezzo from the sixteenth through the eighteenth centuries. One notable work that inspired the development of the Pastoral Symphony was an oratorio written by Franz Joseph Haydn, his teacher and mentor early on in his composing career. Haydn’s oratorio, The Seasons, had an impact on Beethoven while he wrote his Sixth Symphony. Haydn incorporates arpeggiated horn calls in the aria â€Å"Der muntre Hirt† that begin â€Å"a sequence of summer scenes that will [eventually lead] to the storm† later in the oratorio. Similarly, Beethoven opens the fifth and final movement of his symphony with an arpeggiated melody in the French horns that subsequently signify the end of the storm that took place in the previous movement. Another example of musical quotation that Beethoven purposely incorporated is an oboe melody that â€Å"has long been understood as a quotation from Bach’s chorale ‘Birch an, o Schà ¶nes Morgenlicht,’ from the second part of the Christmas Oratorio†¦Ã¢â‚¬  It is worth mentioning that prior to Beethoven’s Pastoral Symphony, there had been other symphonic works to contain sections that resemble thunderstorms. Several commentaries on the Pastoral and its development discuss the 18th century German composer, Justin Heinrich Knecht and his piece entitled La Portrait musical de la nature. This work seems to contain similar programmatic ideas as that of Beethoven’s symphony, including a thunderstorm that interrupts the overall peaceful feeling of nature that resumes after the storm. In addition to preceding compositions that influenced Beethoven’s writings, there has been the suggestion for the possible influence from the literary writings of Scottish poet James Thomson, mostly that of his well known poems collectively titled â€Å"The Seasons†. While there is no concrete evidence that Beethoven took inspiration from this poem, some scholars feel that the poem possibly had an underlying effect on the outcome of the Pastoral Symphony. The text of the poem discusses nature, progressing through the four seasons starting with spring and ending with winter. The poem was translated to German in 1745 and served as a basis for Haydn’s oratorio that shares the same name. As discussed earlier, Beethoven drew inspiration from Haydn’s oratorio, so it would seem that he was indirectly influenced from the poetry of James Thomson for this reason even if he had no connection to the actual literature itself. So far there have been factors that support both sides of the argument in trying to define the Pastoral Symphony as either a work of absolute music, or one depicting tone painting. The mere fact that the piece contains an appropriate amount of material that justifies both categories, one should agree that this work could be viewed as the perfect synthesis of the two sides of the symphonic spectrum. The next step in understanding the influence that the Pastoral Symphony had on future composers of both absolute and programmatic works would naturally be to look at the general reception of the premiere of this piece. The Sixth Symphony received its first public performance on December 22nd, 1808 along with Beethoven’s Fifth Symphony. Beethoven worked on these two symphonies simultaneously in the years leading up to this concert. At this time however, the symphonies were labeled opposite of what they are viewed as today, which means that the Pastoral was written and performed as Beethoven’s fifth symphony, while the C-minor was viewed as his sixth. Over the course of time it would seem as though the Fifth Symphony has overpowered the Pastoral in the minds of audience members. While this may be true to some extent today, at the time, critics were singing praises to this wonderful portrayal of nature through melody and harmony. A review of the score in the musical journal of the time, Allgemeine musikalishce Zeitung, was typical in saying such things as â€Å"this work of Beethoven, wonderful, original, and full of life, which can be placed without hesitation besides his other masterworks†¦Ã¢â‚¬  When comparing it to other compositions that focused on imagery of programmatic material, one critic claimed that â€Å"none of the musical paintings known until now can withstand comparison†¦Ã¢â‚¬  Overall, the piece was welcomed positively and viewed as a representation for composers who desired to use programmatic features. Some of the compositional styles that would soon develop through the Romantic period can trace influence from Beethoven’s Sixth Symphony. When discussing compositions that drew inspiration from the Pastoral Symphony, one should mention Hector Berlioz’s programmatic work, Symphonie Fantastique. As a composer, Berlioz was an advocate for music with more programmatic tendencies and was viewed as a radical composer during his time. At one point in his career, Berlioz wrote critical reviews of Beethoven’s nine symphonies. When discussing the Sixth, he used descriptions such as, â€Å"delightful phrases [that] greet you, like the perfumed morning breeze† as well as â€Å"swarms of chattering birds in flight†¦Ã¢â‚¬  With such joyous descriptions that Berlioz gave, it comes as no surprise that he would find inspiration from this piece for his own writing. Author, Owen Jander views the second movement in Beethoven’s symphony entitled â€Å"Scene by t he Brook† as an obvious â€Å"point of departure for the ‘Scene in the Meadows’ in Berlioz’s Symphonie Fantastique†. As mentioned earlier, Beethoven’s second movement has been the topic of several discussions concerning the Sixth Symphony, specifically, the imitation of birdcalls that can be found at the close of the movement. Jander believes the calls to symbolize Beethoven’s acceptance of his growing deafness and his own fate. If one is to agree with this interpretation, then the connection to Berlioz’s Symphonie Fantastique becomes one that is easy to accept. Berlioz’s third movement, entitled â€Å"Scene in the Meadows† opens with the English horn and the oboe representing two shepherds that are calling to one another. At the end of the movement, one of the â€Å"shepherds† return once more but is not joined by the other, but is instead replaced by the distant roll of thunder heard in the timpani. Those familiar with the piece and its program know that the concluding two movements that follow represent a personal hell and damnation for the protagonist. The connection between both that of Beethoven’s and Berlioz’s works would be the idea that both composers are aware of their own fate and accept it through the illustration of music. Another composer that was potentially influenced by the Pastoral Symphony was that of the German opera composer, Richard Wagner. As just discussed, it would seem that the second movement of Beethoven’s work is to represent the â€Å"realization of one’s destiny through nature†. In Wagner’s opera, Siegfried, there are scenes within the second act that take place in the forest. In which, the main character, Siegfried learns of his destiny from the ability to understand a forest bird. This situation is the exact opposite from that of Beethoven’s, where the composer realizes his destiny through the discovery that he can no longer hear. Two compositions that were separated by nearly one hundred years, both contain similar imagery that represents a person’s realization and acceptance of their destiny through nature. The chances of this being a coincidence seem rather unlikely. To say that that Beethoven’s Pastoral inspired Wagner’s us e of nature within this opera would be a fair conclusion. When discussing Beethoven, the Sixth Symphony may not be a piece that comes to mind right away; one might rather recall themes from other symphonies by him. However, the importance of this piece in the evolution of the symphony as a genre is too important to go overlooked. The mere fact that out of the nine symphonies that Beethoven wrote, the Sixth was the only one to receive a programmatic title and descriptive scenes attached to the movements is an indication at the significance of this work. It may not have directly influenced several composers in the years that followed as far as content is concerned, but Beethoven’s ability to combine aspects of program music with the absoluteness of a symphony opened the door to possibilities for future composers on both sides of the spectrum. Beethoven Pastoral Symphony. (2016, Dec 08).

Organizational Leadership Term Paper Example | Topics and Well Written Essays - 3500 words

Organizational Leadership - Term Paper Example Description of situation The organizational transformation Before moving into the realms of the organizational transformation a clear picture of the main parameters regarding the organization entails a necessary significance. The prime parameters encircling the transformation of the organization depend upon people, technology and structure (School of Business, n.d). People Connection to the external environment is done by the people and people are the holders of multi identity in different environment. People can be directly influenced by the external environment despite the fact that the public pressure groups or culture can divert the people’s behavior and attitudes. So people play a dominant role in the organizational transformation. To what extent people play an important part in the company profile of Hewlett Packard (HP) will be discussed in the analysis section (School of Business, n.d). Technology: Technology plays a significant role in the discussion of transformation of organization. Depending upon the complexity and level of technology adopted by the competitors firms must formulate its strategies accordingly in order to develop its technology and simultaneously formulate the profit structure. Although the main concern will be to look upon development of technology depending upon the customers’ need (School of Business, n.d). Structure: The structure of the organization is usually affected by the external environment. It has been found out that when external environment is highly skeptical or uncertain then the optimal requirement is to adjust the internal environment and make it flexible so that it can easily adapt to the... From the discussion it is clear that considering the complex transformation of today’s nature and economy of market the transformation of the business organization has become a very common issue. So the issue of transformation in the organizational leadership in Hewlett Packard will be the prime focus in this paper.As the paper stresses  connection to the external environment is done by the people and people are the holders of multi identity in different environment. People can be directly influenced by the external environment despite the fact that the public pressure groups or culture can divert the people’s behavior and attitudes. So people play a dominant role in the organizational transformation. To what extent people play an important part in the company profile of Hewlett Packard (HP) will be discussed in the analysis section.  Technology plays a significant role in the discussion of transformation of organization. Depending upon the complexity and level of t echnology adopted by the competitors firms must formulate its strategies accordingly in order to develop its technology and simultaneously formulate the profit structure. Although the main concern will be to look upon development of technology depending upon the customers’ need.  The structure of the organization is usually affected by the external environment. It has been found out that when external environment is highly skeptical or uncertain then the optimal requirement is to adjust the internal environment and make it flexible so that it can easily adapt to the uncertainties of the environment.

Titanic The Best Film I Have Ever Seen Essay Example | Topics and Well Written Essays - 500 words

Titanic The Best Film I Have Ever Seen - Essay Example Cameron weaves the tale of the ill-fated voyage around an intense love relationship between two mismatched and star-crossed protagonists whose affair seems doomed to failure because of class differences. Handsome Leonardo DiCaprio as the poor artist Jack Dawson and beautiful Kate Winslet as the American debutante Rose DeWitt Bukater give stellar performances, ably supported by outstanding acting by Billy Zane as Rose’s cold-hearted fiancà © Cal Hockley, Frances Fisher as Rose’s financial ruin-facing mother Ruth DeWitt Bukater, and Bernard Hill as the imposing ship captain Edward John Smith. By ensuring the tragic sinking of the Titanic does not eclipse the protagonists who are in priority focus from start to end, Cameron adroitly sidesteps a common failing in most epic disaster films – too many sub-plots interwoven around too many supporting characters. Two other contributors to the gripping nature of the film are its powerful visual effects whereby computer-sim ulated realities are used with devastating effect, and the outstanding soundtrack, especially â€Å"Hymn to the Sea† and the super-hit number by Celine Dion â€Å"My Heart Will Go On.† Although 80 percent of the 3-hour plus film comprises flashbacks, Cameron’s use of genuine documentary images traverses the thin line between illusion and reality so effectively that viewers do not just watch the film, but vibrantly experience it right from the day the ship was launched in Southampton to the time it sinks. The climax of the film is undoubtedly the overwhelming scenes of the mighty ‘unsinkable’ ship in its death throes as it slowly but surely sinks into a cold watery grave.  After viewing ‘Titanic,’ I was so awe-struck that it seemed James Cameron went to great lengths to specially construct a brand new ‘Titanic’ ocean liner, launch it with grand pomp and fanfare, and then let it sink with terrible grandeur†¦Ã¢â‚¬ ¦I ha ve no doubt ‘Titanic’ is the best film I have ever seen.

Development of a Model Aviation Safety Program for General Aviation Research Proposal

Development of a Model Aviation Safety Program for General Aviation Companies - Research Proposal Example The proposed project is principally concerned with the development of a Model Aviation Safety Program for General Aviation organizations. It has been viewed that a dramatic innovation process of change is currently taking place in the international aviation sector for the purpose of assisting the airspace to comply with future demands. In relation to aviation safety, the two utmost priority areas are the human factors and the technology factors. In relation to the human factors, the errors caused manually could eventually lead towards safety issues. In relation to the technological factors, when the technology fails to perform its functions, it also gives rise to a significant degree of safety issues. Thus, it can be stated that proper maintenance of the technology gadgets in an airplane and in the control room along with adequate training to the individuals related with the aviation industry is essential for exhibiting an advanced aviation safety program (Aviation Safety Corps, n.d. ). The research as well as the development of the project will intend to provide a brief description of the importance or the need of developing various models or safety programs relating to aviation sector for the general aviation companies. Various theories, models as well as relevant concepts will be used in the project in order to meet with the project outcome. The project will address the concern towards the development of various programs relating to aviation safety for the general aviation companies. Moreover, the project will endeavor to reveal critical thinking, delivering comprehensive as well as realistic information with the purpose of helping in recognizing the crucial steps about developing aviation safety programs that are often signified as quite essential for the general aviation companies. By the implementation of the sources

Morality - Philosophy Essay Example | Topics and Well Written Essays - 1500 words - 1

Morality - Philosophy - Essay Example Indeed, broader ramifications of one’s morality and ethical behavior are significantly influenced by his socio-religious compulsions. Thus, morality becomes highly debatable and objective issue within the field of philosophy that is interpreted and rationalized differently by different individuals. Philosophy is intrinsic part of life which people exhibit through their actions and reactions to events in their life. The wisdom and individual perspective to various issues and aspects of one’s life reflects the individual’s philosophy. Each individual responds to other people and circumstances as per his values and principles based on his socio cultural and religious paradigms. Many of these values are imbibed through associations and peer relations, while others are evolved through personal experiences. These values become critical aspects of one’s life while determining the standards of good and bad things that help him in making informed choices. In the contemporary environment of rapid globalization, the wide diversity of socio-cultural and religious paradigms often results in diverse ethical and moral practices across different societies. People coming from different cultural background may endorse different ideologies and views regarding issues and their actions are good or bad would depend on the moral norms and value system of their culture. These become vital considerations for moral dilemmas in the contemporary times of multicultural societies. Thus, understanding of cross cultural value system is encouraged within and outside the society so that moral and ethical dilemma could be resolved easily and amicably. Interestingly, philosophers assert that morality and ethics could be different but the wider ratifications of the same are designed to have similar outcome which is to ensure that happiness is the result. Morality can broadly be described by rationalizing one’s

Advertising Essay Example | Topics and Well Written Essays - 1000 words - 7

Advertising - Essay Example ding, packaging and diversification makes the market very vulnerable and a very appropriate mechanism to be at the realm of market fair share is challenging obligation to most firms. Different impressions are created technically by advertisements; Shrank in his work, â€Å"The Language of Advertising Claims,† calls the advertising techniques â€Å"pseudo-information.† He claims that there is thin line between falsehood and truth in the advertisement message (p. 543). The ever outstanding supremacy claim of a product or a service by the ads leaves ultimate users and consumers to be very critical in decision making and instigate an informed judgment. A number of people claim immunity to ads, saying that they base their purchases on solely on the fact of value and desire, but still ads are designed in such a manner that they operate beyond the level of mind awareness and it influences even those claiming immunity to such messages. This essay navigates in depth the enticing aspect of ads to customers, how the ads create emotions and attitudes towards the service or product in question and most likely the intended connection of feelings towards the product advertised. Creation of awareness and urge to capture a fair market share becomes the basis on which ads are aimed at. The wit and authoritativeness in bringing out the superiority factor of the product or service and the bare reason to lure customers to use the same turn out to be the much intended target of ads. The designated use of words in the ads ensures that there bridging link on how ads agencies work versus how the savvy personalities work solely to achieve the ads objective (David 119). Ads create positive influence, both economically and socially. It is further stressed that there is built of expectations, emotions, and false needs through ads. Ads try to create an impression of belonging to a social cadre in the society. The urge to associate with a class of individual or just a personality makes an ad

How effective managers might integrate biblical notions of service Essay

How effective managers might integrate biblical notions of service into managerial work - Essay Example There are reasons as to why business is carried on and also why management is important and how managers should approach business management in the biblical notion of service and be effective and efficient. According to Cyril and Cross (415), there are several salient basic influences or assumptions that are related to the business discipline. The managers should understand that God is compassionate, just, and loving (Matthew 5:1-7:29). They should also recognize that God is the creator of everything and that all people and materials; all the ability to create, discovering, and using information, and all the capability of creating wealth. The managers must also consider the fact that people receive gifts from God in various ways, and people are gifted with different skills. Due to the sinful nature of people, the managers must understand that people are greedy, prideful, and selfish, and that they have similar set of basic needs for justice, grace, and love provided by God and the ot her people. This implies that the people may as well be motivated in different ways in their actions to satisfy the needs. Again, people are familiar with two fundamental purposes, that is, the short-term view and the long-term view (Nell 17-18). In the short-term view, there is no other purpose for people other than procreation, selfish pursuit of their self-interest, and survival. For the long-term view, the people are creations in the image of God, meant to love, please, and serve both God and the other people. The managers should understand that people have the desire of living and working in relationships of other people (West 81). Because of the natural state of God and the work He did, and due to the nature of people and their actions, the Christian business managers take part in the redemptive activity of God by encouraging and

Phases of vietnamese buddhism Essay Example for Free

Phases of vietnamese buddhism Essay The history of Buddhist education in Vietnam can be studied by dividing it into four separate phases or periods. The formation of Buddhism in Vietnam. This started from the common era and lasted till the end of Chinese dominion Climax of Buddhism. Buddhism was at its peak during the independence The decadence after the Le Dynasty Revival period. This started in the beginning of the 20th century and has not ended yet. The period before the Common Era lays the foundation for the beginning and development of Buddhist education in Vietnam. It was the time when Siddhartha Gautama, who will later attain enlightenment and will be called as ‘Buddha’ was born. As he was born in India, Indians were the first to learn Buddhism. Later when Buddhism came to China, many Chinese monks went to Vietnam in order to spread Buddhism. However, it believed that the Chinese and Indian merchants came to Vietnam for trading. They brought monks with them saying that the monks were the â€Å"calmer of the sea† These monks started preaching their religion in Vietnam. It was easy for them to teach their religion to many people at a time, as Luy-Lau, later known as Ha-Bac was the centre of all trading activities. All the merchants who came here to trade, and merchants who were travelling between India and China, stopped here to rest, therefore, monks were able to spread their religion very easily. Many missionary activities were started as a result. Monasteries were built and Buddhism became important. This was the first time ever in the history of Vietnam, that monasteries were built . The next period or phase proved to be best for Vietnamese Buddhism. In this period Buddhist studies were at their peak and many famous people and rulers converted to this religion. It was when King Dinh Tien Hoang came in to power. Buddhism has its own hierarchy of monks and priests who were accepted by the court. Buddhism was now supported by the royal court and this helped many positive changes to take place. Buddhists were now respected and were considered as learned people. They were asked advice by the royal court and the rulers before taking decisions. This helped them get involved in many political and religious decisions and hence providing many decisions to be taken according to them. This era truly proved to be the best for Buddhist studies and it became one of the most predominant religions. After this, many kings and emperors converted to Buddhism. Many laws came into practice in this era, which were influenced by Buddhism, and hence were in favor of the Buddhists. Van Hanh became a Buddhist in this period. He is known as the meditation master and has influenced many people to convert to Buddhism. Any ruler who was not Buddhists was at least the supporter of Buddhism and this was a very positive point for the Buddhists. In 1010 A. D, almost eight monasteries were built in Ha Bac. All other monasteries and Buddhist temples were also repaired. Tripitaka texts, which were in China initially, were brought in Vietnam. Thousands of Buddha statues and paintings were made and set up. Festivals were set up. Many new monasteries such as Sung Kharh monastery and monastery at Mount Ba were built. In 1086 A. d Dai Lam monastery was built in Ha Bac. Later in 1118 A. D Thien Phat was built which had almost 1,000 Buddha statues . BUDDHIST STUDIES The entire Buddhist education comes from the studies of Buddha, who is the supreme teacher. All of the studies root from saddha, which is the faith in triple Gem. Depdnding upon these studies the students are taught according to the five rules. The students should know the rules, their reason and their appliance in daily lives. Most importantly, they should appreciate all these rules and believe in them. The students should know what is generosity and self sacrifice. These are essential elements that help the students overcome their worldly desires, their selfishness and greed. These five moral rules are dependent on each other. A student can gain by suta, which is by extensive reading of Buddhism texts. According to Buddhist studies the knowledge of a person is dependent on his inside belief of truth i. e. Dhamma. Calm and insight are the two main elements of any Buddhist teaching. In Buddhist education tasks and wisdom are dependent on each other. A student can attain wisdom by deep investigation, discussion and intelligence. This wisdom was the basic instruments which lead Buddha to salvation. This wisdom is the crown of all educations of Buddhism. Without wisdom, education is incomplete. Before French, people were chosen based on their education. These were officials known as â€Å"mandarins†. Learning was very important in those times. It was not just education but it lead a person to intellectual understanding, social standing, wealth and power. Buddhism came directly from India, hence there are many words in Vietnamese Buddhism which are influenced or are taken directly from India. The word Buddha is also taken as it is. However, as the Vietnamese culture is influenced a lot from the Chinese, hence when Chinese monks came to Vietnam, the word Buddha was replaced by the word Phat. In those days, Buddhism in Vietnam was influenced by Theravada Buddhism. It was seen as religion which helped good people and punished the bad. It was very difficult to teach Buddhism at that time as very little literature was available. Vietnamese had no written script; hence a few translations were made in Chinese. The era between 544 and 602 was an independent era and was helpful in spreading Buddhism.

The Roles Of An Early Tears Practitioner Young People Essay

The Roles Of An Early Tears Practitioner Young People Essay Caring for children looks at the range of settings and providers that care for children across the private, voluntary and independent sectors. The following report outlines the care needs for children. Collate evidence which describes the role of the practitioner in caring for children The role and responsibilities of an early years practitioner follow a number of codes of practice and state how you conduct yourself. When working with children a number of codes of practices exist. Such as Special needs, Safeguarding children, Childrens learning, Behaviour, Working with parents, Data protection etc. The early years practitioner has clear responsibilities, like Work to the principals of the sector and codes of confidentiality Meet learning needs of a child Provide an environment that is warm, welcoming and stimulating Work with parents and partners Work as part of a team that provides a quality service for both children and parents The early years practitioner has to: Put needs of children first because this will help keeping children out of harm, keep them safe and encourage them to meet the standards for there abilities. Respect others choices -If you do not this could cause friction between staff members and can reflect on the setting and onto the children. Respect confidentially It is important to respect confidentiality as it can help a child stay out of trouble, keep them safe and help them. Plan, record and review This is important as it can help you improve. It can help you notice your strengths and weaknesses. This also helps when doing activities where you can see what event went well and what did not, how you could do things differently and may allow you to handle a situation differently It is important to demonstrate responsibility as it helps the children learn right and wrong and it is partly your responsibility to teach them this and they may treat you as a role model. Also partnerships with parents. This is also important as then you can learn about a child, their likes and dislikes, etc. It will also help build relationships with parents so they know they can trust you. Continuing Professional Development is important as it shows you want to be the best that you can be. It also shows you are very interested in making the children be the best they can be and that you are dedicated in doing that. Observing children helps you recognise stages of the Childs development. This can help recognise where a childs needs are, where they need extra help, etc Lastly working as a team as this helps create a positive environment for everyone to work in and also help people feel included and this will help with self-confidence. E2 Collate information about how care for children may be provided within families and society E3 Include evidence which compares the differing roles of statutory, private, voluntary and independent settings. Many parents adapt to changes in their lives and usually have the support of family and friends to provide assistance. Many families however can face issues that affect the family life and often need support to help them. Such factors like: Financial Difficulties Low income families Cannot afford food or clothes Poverty, poor health and depression Poor housing, etc Unemployment Loss of jobs, no income Depression Changing jobs / Mother working Loss of child care Separation of child from mother Divorce and separation Lower income Smaller housing / cramped conditions Caring for other family members / long term illnesses Elderly relatives Hospital Bereavement Emotional strain Dealing with grief Social isolation No communication No transport Living in a new area no friends, etc. Children and families need support at certain times and there are many organisations and self help groups that can provide this support. Such as National Childbirth Trust, National Association of Toy and Leisure Libraries, Child Poverty Action group, Home Start, Parentline plus, Gingerbread, contact a family, etc. There are many different settings where children can be cared for such as Respite Care, Holiday play schemes, Parent and toddler groups, Schools, Workplace nurseries, Childminders, Pre-schools, After school clubs, Residential care, Day nurseries and Crà ¨ches Usually the main support group is within the family network such as grandparents and Aunties and Uncles. There are four different types of Sectors that provide care and education for children. They are; Statutory Sector Voluntary Sector Private Sector. Independent A Statutory Sector is a Sector that has to be there by law, so dentist, local schools and hospitals are part of this. Local schools have to be there by law and get some funding by the government. The age range that schools cover is from five years to eleven years olds; they follow a set routine where reception covers the EYFS and then year one to year six covers the national curriculum. Schools are open from nine oclock in the morning to half three in the afternoon, from Monday to Fridays, term times only. This means that schools are closed at Christmas, Easter, summer and half terms. Schools are in easy access areas, where there is enough space for an outside play area for example the playground and indoor space, for example somewhere to do P.E. A local school can be adapted, for example ramps for people with disabilities and for people to find it easy to access the school. A local school should also include snacks; they should be healthy snacks like fruit and vegetables. They shoul d also include toileting times for the children. Statutory Schools are usually free except payment for school dinners, school trips and some snacks. The aim of a Statutory Sector School is to provide opportunities of education for every child and to support their learning also making a safe and secure environment for children to keep them from harm. Another aim is to provide social opportunities for the child this will include learning to make friends, learning to socialise with people, learning the difference between adults and children and learning to respect others. It may also provide opportunities for the family by meeting new parents so they are making new friends and it may also prove as support for families as they might find people to rely on and also some services though school to help support them. A Voluntary Sector is a sector, which people volunteer to organise and run, so mother and toddler, brownies and Pre school groups are apart of this. Mother and toddler groups are usually for children age two to four years. The mother and toddler groups are usually opened from nine to eleven thirty in the mornings or half one till three in the afternoon. These kinds of organisations are usually placed in a church or community hall, which arent necessarily built for the use of children. The staffs are usually parents themselves but the person in charge of the organisation must have a level three childcare qualification. The organisation may ask for a small donation each week, approximately  £3:50 a week to cover the basic cost of the booking of the hall and also for lighting and water bills. The area in which the organisation is situated may not have an outdoor area for the children to play out in, the organisation should also follow the EYFS curriculum where children will learn through play and the space may also be Ofsted inspected. The main aim of a mother and toddler group is to provides short term care of young children to give a parent or carer a little time to themselves and also to give young children stimulation and also play and social opportunities. Another main aim is to get children ready for school or nursery. Another way is to create social opportunities for the parent or carer of meeting new people while helping out with the organisation or just dropping off their child at the group. A Private Sector is a sector, where people pay extra to try and get the best of their childs education or health and also their own. When you use a private day nursery you are charged for using them, you are approximately charged  £150 a week to use the services. These nurseries are open from 8 am 6 pm all year except bank holidays, the age range for these nurseries are usually from six weeks old up until five years. They also provide all meals, breakfast, dinner and tea and also snacks; they also have sleep facilities, indoor and outdoor play areas for children to play in. The building may not be purposely be built for the children but will be adapted for the children to provide their size facilities. All the members of staff will fully qualified, managers and rooms leaders must be at least level three or level two trained. Ofsted will also inspect the building and the staff to check if its safe and also to check if they are following EYSF curriculum. The aim of a private day nursery is to provide safe and secure environment for children to keep them from harm for children in absence of parents or carer and also to provide opportunities of education for every child and to support their learning. Another aim of the private day nursery is to provide stimulating environment with bonding with other children and also to provide learning through play and also opportunities. Another aim may be to allow employment opportunities for parents or carers and knowing a child is in a secure place and is cared for. An independent sector are companies with more freedom to organise their provision. Their services may not rely on government funding and does not have to follow the EYFS or the National Curriculum. However the service may be OFSTED inspected to make sure childrens welfare needs are being met. Services of independent provision include independent schools and nurseries. E4 Include a summary of the main regulations that govern the care of children in different types of settings. The following is legislation that relates to working with children in a childrens centre:- Health and Safety at Work Act 1974 Race Relations Act (1976) Human Rights Act (1998) Data Protection Act (1998) Disability and Discrimination Act (2004) The legislation can influence working practices in the childrens centre by:- At all times complying with the Data Protection Act 1998. No discrimination by it against any person with respect to opportunity for employment, conditions of employment or delivery of the Services because of sex, marital status, race or disability. The Childrens centre shall in all matters arising comply with the provisions of the Disability Discrimination Act 1995, the Human Rights Act 1998, and the Sex Discrimination Act 1975, etc. The centre must comply with the provisions of the Race Relations Act 1976 and the Race Relations (Amendment) Act 2000 and make sure that they perform their responsibilities, to eliminate unlawful racial discrimination, and to promote equality of opportunity and good relationships between different racial groups. The centre should be responsible for and take all such precautions as are necessary to protect the health and safety of all persons employed by it and should comply with the requirements of the Health and Safety at Work Act 1974 and any other Acts or Regulations relating to the health and safety of employed persons. Human Rights Act 1998. It gives further effect in the UK to rights contained in the European Convention of Human Rights. The Care Standards Act 2000 and the Regulations and National Minimum Standards set out the responsibilities of agencies and carers in promoting the health of children who are looked after. The Education Act 2002 Local authorities and schools where requires to protect and safeguard and promote the welfare of children. This included health and safety, child protection and the overall well being of children. The Every Child Matters and Children Act 2004 The Children Act 2004 introduced a new duty (section 10) to co-operate at a strategic level on local authorities, Primary Care Trusts and other relevant childrens services partners. The act is to protect children and promote welfare and well being of children.Being healthy: enjoying good physical and mental health and living a healthy life style. Staying Safe being protected from harm and neglect. Enjoying and Achieving getting the most out of learning and life, and developing skills for adulthood. Making a positive contribution being involved in community and society and not engaging in anti-social or offending behaviour. Economic well being not being prevented by economic disadvantage from achieving their potential Other legislation that helps the health and well being of children is shown below. Meggitt. C. (pg 249-251) The Children Act 1989 provides care and protection of all children and young people in need, including those living away from home. Local authorities have a specific duty under section 22 of the Act to safeguard and promote the wellbeing of each child they look after. The Children and Young Persons Act 2008 amends the Children Act 1989; support the care system and putting in place the structures to enable children and young people to receive high quality care and support. The Mental Health Act 2007 amended the Mental Health Act 1983. It requires hospital managers to ensure that patients aged fewer than 18 admitted to hospital for mental disorder are accommodated in an environment that is suitable for their age (subject to their needs). This is due to be fully implemented in 2010. The Mental Capacity Act 2005 generally only affects people aged 16 or over and provides a framework to empower and protect people who may lack capacity to make some decisions for themselves, for example, people with dementia, learning disabilities, mental health problems, stroke or head injuries who may lack capacity to make certain decisions. E5 include 2 activities which will each support and maintain a different aspect of the daily care of children There are many different routines for children that can help them maintain a different aspect of daily care for children such as Hygiene Toilet time, washing hands, bed time and teeth cleaning, Mealtimes Sitting at the table and Sleep Routines: Daily routines vary depending where the child is being cared for. But promoting and supporting a childs independence and self care is also important and a childs self image and self esteem are vital to their overall wellbeing. However I have chosen the following as my chosen activities Shoe laces and Dressing weather appropriate. Activity One Shoe laces What is the activity? Teaching children to tie their laces by making a personalized shoe. (the children decorate it themselves) with laces for them to practice. What do you have to do? Adults role help the children learn to tie their laces Childs role learn to tie their laces and keep practicing How does this promote independence? It helps them learn to tie their laces so adults dont have to do them How does it promote daily living? It helps children tie their laces so they can do it daily and at their convinence What areas of learning does it promote? Intellectual, Physical and Emotional Is it fun? Yes especially the decorating Is it important? Yes Why? Because it is a basic skill for every day living What age? 4- 5 years of age Can you break it down to make it easier? N0 not really Can the activity be extended? No Activity two Dressing weather appropriately What is the activity? Dressing up a doll in appropriate clothes to go outside and play in, which will keep them warm and dry depending on the weather What do you have to do? Adults role help the children learn how to dress appropriately Childs role to be able to dress the doll properly and wear weather appropriate clothes themselves. How does this promote independence? It helps them dress properly thrmselves without being told what to wear and they choose what they want. How does it promote daily living? It helps children dress appropriately and to keep warm so that they dont become ill and that we do it everyday What areas of learning does it promote? Intellectual, Physical, Emotional and Health Is it fun? Can be Is it important? It can be Why? It stops the child from becoming ill and keeps them comfortable with what they wear and do What age? 4- 5 years of age (pre-school) Can you break it down to make it easier? N0 not really Can the activity be extended? Yes broken down into holiday (warm weather clothing), wet weather clothing, winter (cold weather clothing) E6 include an explanation of the key issues which enable multi-professional teams to work together. Multi professional approach allows professionals share knowledge about a family needs so that the parents dont have to ask the same questions over and over again. The professionals are aware of each others roles in supporting the family so that conflicting advice can be minimise. It is essential that each agency communicates well and understands not only there role and responsibilities but the others agencies as well. Parents/guardians are the most important people in a childs life, and recognise the importance of this. We have a responsible role that involves sharing care of the child with parents/guardians; listen to parents/guardians, as they are the expert on their child. Respect will be shown for family traditions and childcare practice, and will work in harmony with the values and wishes of the parents. Partnerships with other agencies benefit children, for example Speech and language therapists for children with hearing and language difficulties -This could include sign language or English as a second language. Bereavement management play therapist, Educational psychologist to assess behavioral needs and bring about positive behavior in a child. Sensory impairment such as Limited vision, Hearing disorder or Speech problems. Also Dietary, Religious or Learning needs This is to ensure that all the needs of the individuals / children are met and they develop to their full potential. These partnerships do have an important role to play in ensuring that childrens experiences and learning are maximized. Tassoni pg 237 A multi professional approach when working with children and parents is important as it helps children not to slip through the net. Communication is the biggest part of the multi professional team, as everyone needs to know what is going on. The multi professional approach team is made up of a lot of different agencies, they are agencies including Schools and teachers, Hospitals and doctors, Social workers, Police and many more. They all work together to help parents and children to stop tragic cases such as death, child abuse, etc. E8 Show an understanding of diversity and inclusive practices Recognising diversity is about recognising that children can come from lots of different backgrounds and family structures and this could be from the language they speak, culture and beliefs. Diversity means responding in a positive manner to differences, valuing all people. All children are citizens and have rights and entitlements. Children should be treated fairly regardless of race, religion or abilities. This applies no matter: what they think or say what type of family they come from what language(s) they speak what their parents do whether they are girls or boys whether they have a disability or whether they are rich or poor. All children have an equal right to be listened to and valued in the setting. Improving the physical environment physical aids to access education such as ICT equipment and portable aids for children with motor co-ordination and poor hand/eye skills. New buildings should be physically accessible to disabled pupils and will involve improving access to existing buildings including ramps, wider doors, low sinks, etc Improving the delivery of information to disabled children at nurserys or schools The information should take account of pupils disabilities and parents preferred formats and be made available Children should be treated fairly regardless of race, religion or abilities. This applies no matter what they think or say, what type of family they come from, what language(s) they speak, what their parents do, whether they are girls or boys or whether they have a disability or whether they are rich or poor. All children have an equal right to be listened to and valued in the setting and all children have a need to develop, which is helped by exploring and discovering the people and things around them. Some childrens development may be at risk, for example children who are disabled and those with special educational needs , those from socially excluded families, such as the homeless or those who live with a parent who is disabled or has a mental illness, children from traveller communities, refugees or asylum seekers and those from diverse linguistic backgrounds. All children are entitled to enjoy a full life in conditions which will help them take part in society and develop as an individual, with their own cultural and spiritual beliefs. Practitioners ensure that their own knowledge about different cultural groups is up-to-date and consider their own attitudes to people who are different from themselves. Children in the UK are being raised in a society with many sources of cultural diversity. Good early years practice needs to support this from the earliest months of babyhood. Practitioners need to work to create a positive learning environment. Play materials, books and other resources can be offered in a helpful way by reflecting on how young children learn about culture and cultural identity.   Diversity and inclusion is also linked to legislation such the Childrens Act 1989, SEN act 2001, Rights of Children 1989 and the Race Relations Act 1976. Also included is the Disability Act 2004. Children like experiencing food, music or dance forms that reflect their own family and neighbourhood experiences. Early childhood is a good time to offer opportunities that enable children to stretch beyond the familiar. Children can learn to appreciate cultural diversity in styles of art, craft, music and dance. All opportunities need to be well grounded in positive pride for the styles common in every childs own background.   E9 References Child Care and Education Tassoni. P. (2007). Heinemann (Harcourt Education Limited). Oxford , England Child Development Meggitt. C. (2006). Heinemann (Pearson Education Limited). Harlow, England Department of education and Skills (DFES) 2007 Early Childhood Studies, Willan, Parker-Rees, Savage: (2004) :Learning Matters ltd

Senior Year of school :: essays research papers

The senior year of high school, what a pivotal time in a person’s life. Jim Swarthow was a senior as average as any other of his time. He grew up in an average sized town in Tennessee, and attended a high school with the population of 1,200 students. As a student he made fair grades, yet never cracked a book when he left the doors of school heading home. School was not very important to Jim because his father had him helping the family business at a very young age. Although he never failed any courses in his school career, he never excelled either. Jim ran with the popular crowd at his high school. He was an in guy that was more of follower than he was a leader. Ridgemont high school was your typical high school that had its typical cliqs. You had your cool guys, your nerds, your jocks, and your normal kids. The school was considered to be more middle class, with your fair share of upper class and lower class students. Jim was a middle class kid that wanted to have the appearance of a rich kid. Already making a fair amount of money helping run his fathers heating and Air Company, Jim would spend much of his money helping his appearance. Having the cool car on campus was what Jim enjoyed spending his free time on. He spent many hours and funds fixing up a 1976 Chevrolet impala. The car was in fair shape when Jim bought it from his father, but a new paint job was needed and he spent little time getting that deed taken care of. Jim had a new shade of pearl white paint put on the car to give it a remarkable look. Along with th e paint job, Jim had many other revisions made to his baby. New tires, tented windows, and a booming audio system. You name it and Jim had it done to the car, he had fun fixing up the new car. Having his own car and being able to put time and money into the car gave Jim a great since of identity and freedom. By fixing the old car up, Jim knew he would be able to obtain any goal he had to overcome in his life. Fixing up an old car was not the only exciting event that took place for Jim during his

U.S. foreign policy from 1890-1914 Essay -- essays research papers

McKinley’s presidency starting in 1896 restored American prosperity through the use of higher tariffs and the return to a gold standard. Foreign nations became dependent on the United States’ prosperity because economic problems, such as crop failures, were affecting their stability. This along with many other factors developed America’s strong sense of nationalism. The concept of social Darwinism was applied not only to domestic concerns, but to foreign concerns as well. Americans felt that their previous abilities to empower themselves over the Native Americans set as a precedent for their capability to influence foreign nations. America looked beyond its borders for new markets because after the closing of the frontier, a fear of possible resource depletion swept through the nation. America’s desire to colonize foreign nations was driven by economic intentions especially in Hawaii and Samoa, Cuba, and Puerto Rico.   Ã‚  Ã‚  Ã‚  Ã‚  The United States’ involvement in trade with China made the importance of Hawaii and the Samoan islands evident. These islands acted as a stop for ships in the midst of their journey to Asia. American influence on the islands existed by America’s growing population settling there. For these two reasons, the United States’ navy looked at Pearl Harbor in Hawaii as a permanent naval base and Pago Pago in Samoa. American settlers in Hawaii gradually drew the power away from Hawaiian leaders causing struggles for power. King Kamehameha b... U.S. foreign policy from 1890-1914 Essay -- essays research papers McKinley’s presidency starting in 1896 restored American prosperity through the use of higher tariffs and the return to a gold standard. Foreign nations became dependent on the United States’ prosperity because economic problems, such as crop failures, were affecting their stability. This along with many other factors developed America’s strong sense of nationalism. The concept of social Darwinism was applied not only to domestic concerns, but to foreign concerns as well. Americans felt that their previous abilities to empower themselves over the Native Americans set as a precedent for their capability to influence foreign nations. America looked beyond its borders for new markets because after the closing of the frontier, a fear of possible resource depletion swept through the nation. America’s desire to colonize foreign nations was driven by economic intentions especially in Hawaii and Samoa, Cuba, and Puerto Rico.   Ã‚  Ã‚  Ã‚  Ã‚  The United States’ involvement in trade with China made the importance of Hawaii and the Samoan islands evident. These islands acted as a stop for ships in the midst of their journey to Asia. American influence on the islands existed by America’s growing population settling there. For these two reasons, the United States’ navy looked at Pearl Harbor in Hawaii as a permanent naval base and Pago Pago in Samoa. American settlers in Hawaii gradually drew the power away from Hawaiian leaders causing struggles for power. King Kamehameha b...

Planned Organizational Change Essay -- Organizational Development, Cha

The ideal approach to creating change in any organization is to apply a realistic and deductive method of planned change. Within the realm of planned change, there is an eight-step process to implementing a program. However, there are four elements that are fundamental to any plan of action that will allow for an environment conducive to planned change. Planned change requires that those responsible for making decisions are not only rational, but must also have access to specific information pertaining to the plan, as well as the lack of constraints on time and resources (Stojkovic et al., 2008). The four key elements of planned change help to guarantee success in reaching a rational approach to important changes. The four elements needed for substantial change are innovation, accountability, leadership that will challenge historical routines, and commitment to change. In the area of innovation, it is important to note that successful change cannot occur in a passive environment and that a proactive approach for planned change is necessary (Stojkovic et al., 2008). Just as planned change cannot be successful without innovation and a proactive approach; there should also be a proactive approach to the accountability of the decision- makers if one wants to see the planned change succeed. While many organizations have already set forth accountability guidelines, they are not without a measure of corruptibility (Stojkovic et al., 2008). To implement planned changed that is going to be above reproach, a system of accountability with safeguards in place to limit corruption is necessary. The third element necessary for planned change is that there must be an acceptable leadership that is not afraid to challenge the status quo. To... ...is an insider that will guide the forces of change while simultaneously altering the climate in a positive manner (Stojkovic et al., 2008). The entire concept of an organizational change being handled sensitively with the entire culture being considered is in stark contrast to the paramilitary model where the climate is not conducive to change. Large police agencies and correctional systems are organized in a bureaucratic hierarchy. They have a clear chain of command that is rampant with formality that often makes it difficult to institute any type of change (Stojkovic et al., 2008). The top-down hierarchy considers only the organization as a whole, with top level administrators making the decisions for everyone. The lack of concern for subordinates often creates a climate of hostility that can often breed insubordination, but leave little room for alteration.

Statistics for Business and Economics

Openmirrors. com CUMULATIVE PROBABILITIES FOR THE STANDARD NORMAL DISTRIBUTION Cumulative probability Entries in this table give the area under the curve to the left of the z value. For example, for z = –. 85, the cumulative probability is . 1977. z 0 z 3. 0 2. 9 2. 8 2. 7 2. 6 2. 5 2. 4 2. 3 2. 2 2. 1 2. 0 1. 9 1. 8 1. 7 1. 6 1. 5 1. 4 1. 3 1. 2 1. 1 1. 0 . 9 . 8 . 7 . 6 . 5 . 4 . 3 . 2 . 1 . 0 .00 . 0013 . 0019 . 0026 . 0035 . 0047 . 0062 . 0082 . 0107 . 0139 . 0179 . 0228 . 0287 . 0359 . 0446 . 0548 . 0668 . 0808 . 0968 . 1151 . 1357 . 1587 . 1841 . 2119 . 2420 . 2743 . 3085 . 3446 . 3821 . 4207 . 4602 . 5000 01 . 0013 . 0018 . 0025 . 0034 . 0045 . 0060 . 0080 . 0104 . 0136 . 0174 . 0222 . 0281 . 0351 . 0436 . 0537 . 0655 . 0793 . 0951 . 1131 . 1335 . 1562 . 1814 . 2090 . 2389 . 2709 . 3050 . 3409 . 3783 . 4168 . 4562 . 4960 .02 . 0013 . 0018 . 0024 . 0033 . 0044 . 0059 . 0078 . 0102 . 0132 . 0170 . 0217 . 0274 . 0344 . 0427 . 0526 . 0643 . 0778 . 0934 . 1112 . 1314 . 1539 . 1788 . 2061 . 2358 . 2676 . 3015 . 3372 . 3745 . 4129 . 4522 . 4920 .03 . 0012 . 0017 . 0023 . 0032 . 0043 . 0057 . 0075 . 0099 . 0129 . 0166 . 0212 . 0268 . 0336 . 0418 . 0516 . 0630 . 0764 . 0918 . 1093 . 1292 . 1515 . 1762 . 2033 . 2327 . 643 . 2981 . 3336 . 3707 . 4090 . 4483 . 4880 .04 . 0012 . 0016 . 0023 . 0031 . 0041 . 0055 . 0073 . 0096 . 0125 . 0162 . 0207 . 0262 . 0329 . 0409 . 0505 . 0618 . 0749 . 0901 . 1075 . 1271 . 1492 . 1736 . 2005 . 2296 . 2611 . 2946 . 3300 . 3669 . 4052 . 4443 . 4840 .05 . 0011 . 0016 . 0022 . 0030 . 0040 . 0054 . 0071 . 0094 . 0122 . 0158 . 0202 . 0256 . 0322 . 0401 . 0495 . 0606 . 0735 . 0885 . 1056 . 1251 . 1469 . 1711 . 1977 . 2266 . 2578 . 2912 . 3264 . 3632 . 4013 . 4404 . 4801 .06 . 0011 . 0015 . 0021 . 0029 . 0039 . 0052 . 0069 . 0091 . 0119 . 0154 . 0197 . 0250 . 0314 . 0392 . 0485 . 0594 . 0721 . 0869 . 038 . 1230 . 1446 . 1685 . 1949 . 2236 . 2546 . 2877 . 3228 . 3594 . 3974 . 4364 . 4761 .07 . 0011 . 0015 . 0021 . 0028 . 0038 . 0051 . 0068 . 0089 . 0116 . 0150 . 0192 . 0244 . 0307 . 0384 . 0475 . 0582 . 0708 . 0853 . 1020 . 1210 . 1423 . 1660 . 1922 . 2206 . 2514 . 2843 . 3192 . 3557 . 3936 . 4325 . 4721 .08 . 0010 . 0014 . 0020 . 0027 . 0037 . 0049 . 0066 . 0087 . 0113 . 0146 . 0188 . 0239 . 0301 . 0375 . 0465 . 0571 . 0694 . 0838 . 1003 . 1190 . 1401 . 1635 . 1894 . 2177 . 2483 . 2810 . 3156 . 3520 . 3897 . 4286 . 4681 .09 . 0010 . 0014 . 0019 . 0026 . 0036 . 0048 . 0064 . 0084 . 0110 . 0143 . 0183 . 0233 . 294 . 0367 . 0455 . 0559 . 0681 . 0823 . 0985 . 1170 . 1379 . 1611 . 1867 . 2148 . 2451 . 2776 . 3121 . 3483 . 3859 . 4247 . 4641 CUMULATIVE PROBABILITIES FOR THE STANDARD NORMAL DISTRIBUTION Cumulative probability Entries in the table give the area under the curve to the left of the z value. For example, for z = 1. 25, the cumulative probability is . 8944. 0 z z . 0 . 1 . 2 . 3 . 4 . 5 . 6 . 7 . 8 . 9 1. 0 1. 1 1. 2 1. 3 1. 4 1. 5 1. 6 1. 7 1. 8 1. 9 2. 0 2. 1 2. 2 2. 3 2. 4 2. 5 2. 6 2. 7 2. 8 2. 9 3. 0 .00 . 5000 . 5398 . 5793 . 6179 . 6554 . 6915 . 7257 . 7580 . 7881 . 8159 . 8413 . 8643 . 8849 . 9032 . 192 . 9332 . 9452 . 9554 . 9641 . 9713 . 9772 . 9821 . 9861 . 9893 . 9918 . 9938 . 9953 . 9965 . 9974 . 9981 . 9987 .01 . 5040 . 5438 . 5832 . 6217 . 6591 . 6950 . 7291 . 7611 . 7910 . 8186 . 8438 . 8665 . 8869 . 9049 . 9207 . 9345 . 9463 . 9564 . 9649 . 9719 . 9778 . 9826 . 9864 . 9896 . 9920 . 9940 . 9955 . 9966 . 9975 . 9982 . 9987 .02 . 5080 . 5478 . 5871 . 6255 . 6628 . 6985 . 7324 . 7642 . 7939 . 8212 . 8461 . 8686 . 8888 . 9066 . 9222 . 9357 . 9474 . 9573 . 9656 . 9726 . 9783 . 9830 . 9868 . 9898 . 9922 . 9941 . 9956 . 9967 . 9976 . 9982 . 9987 .03 . 5120 . 5517 . 5910 . 6293 . 6664 . 7019 . 7357 . 7673 . 967 . 8238 . 8485 . 8708 . 8907 . 9082 . 9236 . 9370 . 9484 . 9582 . 9664 . 9732 . 9788 . 9834 . 9871 . 9901 . 9925 . 9943 . 9957 . 9968 . 9977 . 9983 . 9988 .04 . 5160 . 5557 . 5948 . 6331 . 6700 . 7054 . 7389 . 7704 . 7995 . 8264 . 8508 . 8729 . 8925 . 9099 . 9251 . 938 2 . 9495 . 9591 . 9671 . 9738 . 9793 . 9838 . 9875 . 9904 . 9927 . 9945 . 9959 . 9969 . 9977 . 9984 . 9988 .05 . 5199 . 5596 . 5987 . 6368 . 6736 . 7088 . 7422 . 7734 . 8023 . 8289 . 8531 . 8749 . 8944 . 9115 . 9265 . 9394 . 9505 . 9599 . 9678 . 9744 . 9798 . 9842 . 9878 . 9906 . 9929 . 9946 . 9960 . 9970 . 9978 . 9984 . 9989 .06 . 5239 . 636 . 6026 . 6406 . 6772 . 7123 . 7454 . 7764 . 8051 . 8315 . 8554 . 8770 . 8962 . 9131 . 9279 . 9406 . 9515 . 9608 . 9686 . 9750 . 9803 . 9846 . 9881 . 9909 . 9931 . 9948 . 9961 . 9971 . 9979 . 9985 . 9989 .07 . 5279 . 5675 . 6064 . 6443 . 6808 . 7157 . 7486 . 7794 . 8078 . 8340 . 8577 . 8790 . 8980 . 9147 . 9292 . 9418 . 9525 . 9616 . 9693 . 9756 . 9808 . 9850 . 9884 . 9911 . 9932 . 9949 . 9962 . 9972 . 9979 . 9985 . 9989 .08 . 5319 . 5714 . 6103 . 6480 . 6844 . 7190 . 7517 . 7823 . 8106 . 8365 . 8599 . 8810 . 8997 . 9162 . 9306 . 9429 . 9535 . 9625 . 9699 . 9761 . 9812 . 9854 . 9887 . 9913 . 9934 . 9951 . 963 . 9973 . 9980 . 9986 . 9990 .09 . 53 59 . 5753 . 6141 . 6517 . 6879 . 7224 . 7549 . 7852 . 8133 . 8389 . 8621 . 8830 . 9015 . 9177 . 9319 . 9441 . 9545 . 9633 . 9706 . 9767 . 9817 . 9857 . 9890 . 9916 . 9936 . 9952 . 9964 . 9974 . 9981 . 9986 . 9990 STATISTICS FOR BUSINESS AND ECONOMICS 11e This page intentionally left blank STATISTICS FOR BUSINESS AND ECONOMICS 11e David R. Anderson University of Cincinnati Dennis J. Sweeney University of Cincinnati Thomas A. Williams Rochester Institute of Technology Statistics for Business and Economics, Eleventh Edition David R. Anderson, Dennis J. Sweeney, Thomas A.Williams VP/Editorial Director: Jack W. Calhoun Publisher: Joe Sabatino Senior Acquisitions Editor: Charles McCormick, Jr. Developmental Editor: Maggie Kubale Editorial Assistant: Nora Heink Marketing Communications Manager: Libby Shipp Content Project Manager: Jacquelyn K Featherly Media Editor: Chris Valentine Manufacturing Coordinator: Miranda Kipper Production House/Compositor: MPS Limited, A Macmillan Company Senio r Art Director: Stacy Jenkins Shirley Internal Designer: Michael Stratton/cmiller design Cover Designer: Craig Ramsdell Cover Images: Getty Images/GlowImages Photography Manager: John Hill 2011, 2008 South-Western, Cengage Learning ALL RIGHTS RESERVED. No part of this work covered by the copyright herein may be reproduced, transmitted, stored or used in any form or by any means graphic, electronic, or mechanical, including but not limited to photocopying, recording, scanning, digitizing, taping, Web distribution, information networks, or information storage and retrieval systems, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the publisher.For product information and technology assistance, contact us at Cengage Learning Customer & Sales Support, 1-800-354-9706 For permission to use material from this text or product, submit all requests online at cengage. com/permissions Further permissions questions can be emailed to [email  protected] com ExamView  ® is a registered trademark of eInstruction Corp. Windows is a registered trademark of the Microsoft Corporation used herein under license.Macintosh and Power Macintosh are registered trademarks of Apple Computer, Inc. used herein under license. Library of Congress Control Number: 2009932190 Student Edition ISBN 13: 978-0-324-78325-4 Student Edition ISBN 10: 0-324-78325-6 Instructor's Edition ISBN 13: 978-0-538-45149-9 Instructor's Edition ISBN 10: 0-538-45149-1 South-Western Cengage Learning 5191 Natorp Boulevard Mason, OH 45040 USA Cengage Learning products are represented in Canada by Nelson Education, Ltd.For your course and learning solutions, visit www. cengage. com Purchase any of our products at your local college store or at our preferred online store www. ichapters. com Printed in the United States of America 1 2 3 4 5 6 7 13 12 11 10 09 Dedicated to Marcia, Cherri, and Robbie This page intentionally left blank Brief Conte ntsPreface xxv About the Authors xxix Chapter 1 Data and Statistics 1 Chapter 2 Descriptive Statistics: Tabular and Graphical Presentations 31 Chapter 3 Descriptive Statistics: Numerical Measures 85 Chapter 4 Introduction to Probability 148 Chapter 5 Discrete Probability Distributions 193 Chapter 6 Continuous Probability Distributions 232 Chapter 7 Sampling and Sampling Distributions 265 Chapter 8 Interval Estimation 308 Chapter 9 Hypothesis Tests 348 Chapter 10 Inference About Means and Proportions with Two Populations 406 Chapter 11 Inferences About Population Variances 448 Chapter 12 Tests of Goodness of Fit and Independence 472 Chapter 13 Experimental Design and Analysis of Variance 506 Chapter 14 Simple Linear Regression 560 Chapter 15 Multiple Regression 642 Chapter 16 Regression Analysis: ModelBuilding 712 Chapter 17 Index Numbers 763 Chapter 18 Time Series Analysis and Forecasting 784 Chapter 19 Nonparametric Methods 855 Chapter 20 Statistical Methods for Quality Control 903 Chapter 21 Decision Analysis 937 Chapter 22 Sample Survey On Website Appendix A References and Bibliography 976 Appendix B Tables 978 Appendix C Summation Notation 1005 Appendix D Self-Test Solutions and Answers to Even-Numbered Exercises 1007 Appendix E Using Excel Functions 1062 Appendix F Computing p-Values Using Minitab and Excel 1067 Index 1071 This page intentionally left blank Contents Preface xxv About the Authors xxix Chapter 1 Data and Statistics 1 Statistics in Practice: BusinessWeek 2 1. 1 Applications in Business and Economics 3 Accounting 3 Finance 4 Marketing 4 Production 4 Economics 4 1. Data 5 Elements, Variables, and Observations 5 Scales of Measurement 6 Categorical and Quantitative Data 7 Cross-Sectional and Time Series Data 7 1. 3 Data Sources 10 Existing Sources 10 Statistical Studies 11 Data Acquisition Errors 13 1. 4 Descriptive Statistics 13 1. 5 Statistical Inference 15 1. 6 Computers and Statistical Analysis 17 1. 7 Data Mining 17 1. 8 Ethical Guidelines for Statistical Practice 18 Summary 20 Glossary 20 Supplementary Exercises 21 Appendix: An Introduction to StatTools 28 Chapter 2 Descriptive Statistics: Tabular and Graphical Presentations 31 Statistics in Practice: Colgate-Palmolive Company 32 2. 1 Summarizing Categorical Data 33 Frequency Distribution 33 Relative Frequency and Percent Frequency Distributions 34 Bar Charts and Pie Charts 34 x Contents 2. Summarizing Quantitative Data 39 Frequency Distribution 39 Relative Frequency and Percent Frequency Distributions 41 Dot Plot 41 Histogram 41 Cumulative Distributions 43 Ogive 44 2. 3 Exploratory Data Analysis: The Stem-and-Leaf Display 48 2. 4 Crosstabulations and Scatter Diagrams 53 Crosstabulation 53 Simpson’s Paradox 56 Scatter Diagram and Trendline 57 Summary 63 Glossary 64 Key Formulas 65 Supplementary Exercises 65 Case Problem 1: Pelican Stores 71 Case Problem 2: Motion Picture Industry 72 Appendix 2. 1 Using Minitab for Tabular and Graphical Presentations 73 Appendi x 2. 2 Using Excel for Tabular and Graphical Presentations 75 Appendix 2. 3 Using StatTools for Tabular and Graphical Presentations 84 Chapter 3 Descriptive Statistics: Numerical Measures 85 Statistics in Practice: Small Fry Design 86 3. Measures of Location 87 Mean 87 Median 88 Mode 89 Percentiles 90 Quartiles 91 3. 2 Measures of Variability 95 Range 96 Interquartile Range 96 Variance 97 Standard Deviation 99 Coefficient of Variation 99 3. 3 Measures of Distribution Shape, Relative Location, and Detecting Outliers 102 Distribution Shape 102 z-Scores 103 Chebyshev’s Theorem 104 Empirical Rule 105 Detecting Outliers 106 Contents xi 3. 4 Exploratory Data Analysis 109 Five-Number Summary 109 Box Plot 110 3. 5 Measures of Association Between Two Variables 115 Covariance 115 Interpretation of the Covariance 117 Correlation Coefficient 119 Interpretation of the Correlation Coefficient 120 3. The Weighted Mean and Working with Grouped Data 124 Weighted Mean 124 Grouped Data 125 Summ ary 129 Glossary 130 Key Formulas 131 Supplementary Exercises 133 Case Problem 1: Pelican Stores 137 Case Problem 2: Motion Picture Industry 138 Case Problem 3: Business Schools of Asia-Pacific 139 Case Problem 4: Heavenly Chocolates Website Transactions 139 Appendix 3. 1 Descriptive Statistics Using Minitab 142 Appendix 3. 2 Descriptive Statistics Using Excel 143 Appendix 3. 3 Descriptive Statistics Using StatTools 146 Chapter 4 Introduction to Probability 148 Statistics in Practice: Oceanwide Seafood 149 4. 1 Experiments, Counting Rules, and Assigning Probabilities 150 Counting Rules, Combinations, and Permutations 151 Assigning Probabilities 155 Probabilities for the KP&L Project 157 4. 2 Events and Their Probabilities 160 4. 3 Some Basic Relationships of Probability 164 Complement of an Event 164 Addition Law 165 4. 4 Conditional Probability 171 Independent Events 174 Multiplication Law 174 4. Bayes’ Theorem 178 Tabular Approach 182 Summary 184 Glossary 184 xii Contents K ey Formulas 185 Supplementary Exercises 186 Case Problem: Hamilton County Judges 190 Chapter 5 Discrete Probability Distributions 193 Statistics in Practice: Citibank 194 5. 1 Random Variables 194 Discrete Random Variables 195 Continuous Random Variables 196 5. 2 Discrete Probability Distributions 197 5. 3 Expected Value and Variance 202 Expected Value 202 Variance 203 5. 4 Binomial Probability Distribution 207 A Binomial Experiment 208 Martin Clothing Store Problem 209 Using Tables of Binomial Probabilities 213 Expected Value and Variance for the Binomial Distribution 214 5. Poisson Probability Distribution 218 An Example Involving Time Intervals 218 An Example Involving Length or Distance Intervals 220 5. 6 Hypergeometric Probability Distribution 221 Summary 225 Glossary 225 Key Formulas 226 Supplementary Exercises 227 Appendix 5. 1 Discrete Probability Distributions with Minitab 230 Appendix 5. 2 Discrete Probability Distributions with Excel 230 Chapter 6 Continuous Probability D istributions 232 Statistics in Practice: Procter & Gamble 233 6. 1 Uniform Probability Distribution 234 Area as a Measure of Probability 235 6. 2 Normal Probability Distribution 238 Normal Curve 238 Standard Normal Probability Distribution 40 Computing Probabilities for Any Normal Probability Distribution 245 Grear Tire Company Problem 246 6. 3 Normal Approximation of Binomial Probabilities 250 6. 4 Exponential Probability Distribution 253 Computing Probabilities for the Exponential Distribution 254 Relationship Between the Poisson and Exponential Distributions 255 Contents xiii Summary 257 Glossary 258 Key Formulas 258 Supplementary Exercises 258 Case Problem: Specialty Toys 261 Appendix 6. 1 Continuous Probability Distributions with Minitab 262 Appendix 6. 2 Continuous Probability Distributions with Excel 263 Chapter 7 Sampling and Sampling Distributions 265 Statistics in Practice: MeadWestvaco Corporation 266 7. 1 The Electronics Associates Sampling Problem 267 7. Selecting a Sam ple 268 Sampling from a Finite Population 268 Sampling from an Infinite Population 270 7. 3 Point Estimation 273 Practical Advice 275 7. 4 Introduction to Sampling Distributions 276 _ 7. 5 Sampling Distribution of x 278 _ Expected Value of x 279 _ Standard Deviation of x 280 _ Form of the Sampling Distribution of x 281 _ Sampling Distribution of x for the EAI Problem 283 _ Practical Value of the Sampling Distribution of x 283 Relationship Between the Sample Size and the Sampling _ Distribution of x 285 _ 7. 6 Sampling Distribution of p 289 _ Expected Value of p 289 _ Standard Deviation of p 290 _ Form of the Sampling Distribution of p 291 _ Practical Value of the Sampling Distribution of p 291 7. Properties of Point Estimators 295 Unbiased 295 Efficiency 296 Consistency 297 7. 8 Other Sampling Methods 297 Stratified Random Sampling 297 Cluster Sampling 298 Systematic Sampling 298 Convenience Sampling 299 Judgment Sampling 299 Summary 300 Glossary 300 Key Formulas 301 xiv Contents Su pplementary Exercises 302 _ Appendix 7. 1 The Expected Value and Standard Deviation of x 304 Appendix 7. 2 Random Sampling with Minitab 306 Appendix 7. 3 Random Sampling with Excel 306 Appendix 7. 4 Random Sampling with StatTools 307 Chapter 8 Interval Estimation 308 Statistics in Practice: Food Lion 309 8. 1 Population Mean: Known 310 Margin of Error and the Interval Estimate 310 Practical Advice 314 8. Population Mean: Unknown 316 Margin of Error and the Interval Estimate 317 Practical Advice 320 Using a Small Sample 320 Summary of Interval Estimation Procedures 322 8. 3 Determining the Sample Size 325 8. 4 Population Proportion 328 Determining the Sample Size 330 Summary 333 Glossary 334 Key Formulas 335 Supplementary Exercises 335 Case Problem 1: Young Professional Magazine 338 Case Problem 2: Gulf Real Estate Properties 339 Case Problem 3: Metropolitan Research, Inc. 341 Appendix 8. 1 Interval Estimation with Minitab 341 Appendix 8. 2 Interval Estimation with Excel 343 Appendix 8. 3 Interval Estimation with StatTools 346 Chapter 9 Hypothesis Tests 348 Statistics in Practice: John Morrell & Company 349 9. Developing Null and Alternative Hypotheses 350 The Alternative Hypothesis as a Research Hypothesis 350 The Null Hypothesis as an Assumption to Be Challenged 351 Summary of Forms for Null and Alternative Hypotheses 352 9. 2 Type I and Type II Errors 353 9. 3 Population Mean: Known 356 One-Tailed Test 356 Two-Tailed Test 362 Summary and Practical Advice 365 Contents xv Relationship Between Interval Estimation and Hypothesis Testing 366 9. 4 Population Mean: Unknown 370 One-Tailed Test 371 Two-Tailed Test 372 Summary and Practical Advice 373 9. 5 Population Proportion 376 Summary 379 9. 6 Hypothesis Testing and Decision Making 381 9. 7 Calculating the Probability of Type II Errors 382 9. Determining the Sample Size for a Hypothesis Test About a Population Mean 387 Summary 391 Glossary 392 Key Formulas 392 Supplementary Exercises 393 Case Problem 1: Quality A ssociates, Inc. 396 Case Problem 2: Ethical Behavior of Business Students at Bayview University 397 Appendix 9. 1 Hypothesis Testing with Minitab 398 Appendix 9. 2 Hypothesis Testing with Excel 400 Appendix 9. 3 Hypothesis Testing with StatTools 404 Chapter 10 Inference About Means and Proportions with Two Populations 406 Statistics in Practice: U. S. Food and Drug Administration 407 10. 1 Inferences About the Difference Between Two Population Means: 1 and 2 Known 408 Interval Estimation of 1 – 2 408 Hypothesis Tests About 1 – 2 410 Practical Advice 412 10. Inferences About the Difference Between Two Population Means: 1 and 2 Unknown 415 Interval Estimation of 1 – 2 415 Hypothesis Tests About 1 – 2 417 Practical Advice 419 10. 3 Inferences About the Difference Between Two Population Means: Matched Samples 423 10. 4 Inferences About the Difference Between Two Population Proportions 429 Interval Estimation of p1 – p2 429 Hypothesis Tests About p1 â⠂¬â€œ p2 431 Summary 436 xvi Contents Glossary 436 Key Formulas 437 Supplementary Exercises 438 Case Problem: Par, Inc. 441 Appendix 10. 1 Inferences About Two Populations Using Minitab 442 Appendix 10. 2 Inferences About Two Populations Using Excel 444 Appendix 10. Inferences About Two Populations Using StatTools 446 Chapter 11 Inferences About Population Variances 448 Statistics in Practice: U. S. Government Accountability Office 449 11. 1 Inferences About a Population Variance 450 Interval Estimation 450 Hypothesis Testing 454 11. 2 Inferences About Two Population Variances 460 Summary 466 Key Formulas 467 Supplementary Exercises 467 Case Problem: Air Force Training Program 469 Appendix 11. 1 Population Variances with Minitab 470 Appendix 11. 2 Population Variances with Excel 470 Appendix 11. 3 Population Standard Deviation with StatTools 471 Chapter 12 Tests of Goodness of Fit and Independence 472 Statistics in Practice: United Way 473 12. Goodness of Fit Test: A Multinomial Pop ulation 474 12. 2 Test of Independence 479 12. 3 Goodness of Fit Test: Poisson and Normal Distributions 487 Poisson Distribution 487 Normal Distribution 491 Summary 496 Glossary 497 Key Formulas 497 Supplementary Exercises 497 Case Problem: A Bipartisan Agenda for Change 501 Appendix 12. 1 Tests of Goodness of Fit and Independence Using Minitab 502 Appendix 12. 2 Tests of Goodness of Fit and Independence Using Excel 503 Chapter 13 Experimental Design and Analysis of Variance 506 Statistics in Practice: Burke Marketing Services, Inc. 507 13. 1 An Introduction to Experimental Design and Analysis of Variance 508 Contents xviiData Collection 509 Assumptions for Analysis of Variance 510 Analysis of Variance: A Conceptual Overview 510 13. 2 Analysis of Variance and the Completely Randomized Design 513 Between-Treatments Estimate of Population Variance 514 Within-Treatments Estimate of Population Variance 515 Comparing the Variance Estimates: The F Test 516 ANOVA Table 518 Computer Results for Analysis of Variance 519 Testing for the Equality of k Population Means:An Observational Study 520 13. 3 Multiple Comparison Procedures 524 Fisher’s LSD 524 Type I Error Rates 527 13. 4 Randomized Block Design 530 Air Traffic Controller Stress Test 531 ANOVA Procedure 532 Computations and Conclusions 533 13. Factorial Experiment 537 ANOVA Procedure 539 Computations and Conclusions 539 Summary 544 Glossary 545 Key Formulas 545 Supplementary Exercises 547 Case Problem 1: Wentworth Medical Center 552 Case Problem 2: Compensation for Sales Professionals 553 Appendix 13. 1 Analysis of Variance with Minitab 554 Appendix 13. 2 Analysis of Variance with Excel 555 Appendix 13. 3 Analysis of Variance with StatTools 557 Chapter 14 Simple Linear Regression 560 Statistics in Practice: Alliance Data Systems 561 14. 1 Simple Linear Regression Model 562 Regression Model and Regression Equation 562 Estimated Regression Equation 563 14. 2 Least Squares Method 565 14. Coefficient of Determ ination 576 Correlation Coefficient 579 14. 4 Model Assumptions 583 14. 5 Testing for Significance 585 Estimate of 2 585 t Test 586 xviii Contents Confidence Interval for 1 587 F Test 588 Some Cautions About the Interpretation of Significance Tests 590 14. 6 Using the Estimated Regression Equation for Estimation and Prediction 594 Point Estimation 594 Interval Estimation 594 Confidence Interval for the Mean Value of y 595 Prediction Interval for an Individual Value of y 596 14. 7 Computer Solution 600 14. 8 Residual Analysis: Validating Model Assumptions 605 Residual Plot Against x 606 Residual Plot Against y 607 ? Standardized Residuals 607 Normal Probability Plot 610 14. Residual Analysis: Outliers and Influential Observations 614 Detecting Outliers 614 Detecting Influential Observations 616 Summary 621 Glossary 622 Key Formulas 623 Supplementary Exercises 625 Case Problem 1: Measuring Stock Market Risk 631 Case Problem 2: U. S. Department of Transportation 632 Case Problem 3: Alu mni Giving 633 Case Problem 4: PGA Tour Statistics 633 Appendix 14. 1 Calculus-Based Derivation of Least Squares Formulas 635 Appendix 14. 2 A Test for Significance Using Correlation 636 Appendix 14. 3 Regression Analysis with Minitab 637 Appendix 14. 4 Regression Analysis with Excel 638 Appendix 14. 5 Regression Analysis with StatTools 640 Chapter 15 Multiple Regression 642 Statistics in Practice: dunnhumby 643 15. 1 Multiple Regression Model 644 Regression Model and Regression Equation 644 Estimated Multiple Regression Equation 644 15. Least Squares Method 645 An Example: Butler Trucking Company 646 Note on Interpretation of Coefficients 648 15. 3 Multiple Coefficient of Determination 654 15. 4 Model Assumptions 657 Contents xix 15. 5 Testing for Significance 658 F Test 658 t Test 661 Multicollinearity 662 15. 6 Using the Estimated Regression Equation for Estimation and Prediction 665 15. 7 Categorical Independent Variables 668 An Example: Johnson Filtration, Inc. 668 Interpreting the Parameters 670 More Complex Categorical Variables 672 15. 8 Residual Analysis 676 Detecting Outliers 678 Studentized Deleted Residuals and Outliers 678 Influential Observations 679 Using Cook’s Distance Measure to Identify Influential Observations 679 15. Logistic Regression 683 Logistic Regression Equation 684 Estimating the Logistic Regression Equation 685 Testing for Significance 687 Managerial Use 688 Interpreting the Logistic Regression Equation 688 Logit Transformation 691 Summary 694 Glossary 695 Key Formulas 696 Supplementary Exercises 698 Case Problem 1: Consumer Research, Inc. 704 Case Problem 2: Alumni Giving 705 Case Problem 3: PGA Tour Statistics 705 Case Problem 4: Predicting Winning Percentage for the NFL 708 Appendix 15. 1 Multiple Regression with Minitab 708 Appendix 15. 2 Multiple Regression with Excel 709 Appendix 15. 3 Logistic Regression with Minitab 710 Appendix 15. 4 Multiple Regression with StatTools 711Chapter 16 Regression Analysis: Model Buildi ng 712 Statistics in Practice: Monsanto Company 713 16. 1 General Linear Model 714 Modeling Curvilinear Relationships 714 Interaction 718 xx Contents Transformations Involving the Dependent Variable 720 Nonlinear Models That Are Intrinsically Linear 724 16. 2 Determining When to Add or Delete Variables 729 General Case 730 Use of p-Values 732 16. 3 Analysis of a Larger Problem 735 16. 4 Variable Selection Procedures 739 Stepwise Regression 739 Forward Selection 740 Backward Elimination 741 Best-Subsets Regression 741 Making the Final Choice 742 16. 5 Multiple Regression Approach to Experimental Design 745 16. Autocorrelation and the Durbin-Watson Test 750 Summary 754 Glossary 754 Key Formulas 754 Supplementary Exercises 755 Case Problem 1: Analysis of PGA Tour Statistics 758 Case Problem 2: Fuel Economy for Cars 759 Appendix 16. 1 Variable Selection Procedures with Minitab 760 Appendix 16. 2 Variable Selection Procedures with StatTools 761 Chapter 17 Index Numbers 763 Statistics in Practice: U. S. Department of Labor, Bureau of Labor Statistics 764 17. 1 Price Relatives 765 17. 2 Aggregate Price Indexes 765 17. 3 Computing an Aggregate Price Index from Price Relatives 769 17. 4 Some Important Price Indexes 771 Consumer Price Index 771 Producer Price Index 771 Dow Jones Averages 772 17. 5 Deflating a Series by Price Indexes 773 17. 6 Price Indexes: Other Considerations 777 Selection of Items 777 Selection of a Base Period 777 Quality Changes 777 17. Quantity Indexes 778 Summary 780 Contents xxi Glossary 780 Key Formulas 780 Supplementary Exercises 781 Chapter 18 Time Series Analysis and Forecasting 784 Statistics in Practice: Nevada Occupational Health Clinic 785 18. 1 Time Series Patterns 786 Horizontal Pattern 786 Trend Pattern 788 Seasonal Pattern 788 Trend and Seasonal Pattern 789 Cyclical Pattern 789 Selecting a Forecasting Method 791 18. 2 Forecast Accuracy 792 18. 3 Moving Averages and Exponential Smoothing 797 Moving Averages 797 Weighted Moving Average s 800 Exponential Smoothing 800 18. 4 Trend Projection 807 Linear Trend Regression 807 Holt’s Linear Exponential Smoothing 812 Nonlinear Trend Regression 814 18. Seasonality and Trend 820 Seasonality Without Trend 820 Seasonality and Trend 823 Models Based on Monthly Data 825 18. 6 Time Series Decomposition 829 Calculating the Seasonal Indexes 830 Deseasonalizing the Time Series 834 Using the Deseasonalized Time Series to Identify Trend 834 Seasonal Adjustments 836 Models Based on Monthly Data 837 Cyclical Component 837 Summary 839 Glossary 840 Key Formulas 841 Supplementary Exercises 842 Case Problem 1: Forecasting Food and Beverage Sales 846 Case Problem 2: Forecasting Lost Sales 847 Appendix 18. 1 Forecasting with Minitab 848 Appendix 18. 2 Forecasting with Excel 851 Appendix 18. 3 Forecasting with StatTools 852 xxii Contents Chapter 19 Nonparametric Methods 855 Statistics in Practice: West Shell Realtors 856 19. Sign Test 857 Hypothesis Test About a Population Median 857 Hypothesis Test with Matched Samples 862 19. 2 Wilcoxon Signed-Rank Test 865 19. 3 Mann-Whitney-Wilcoxon Test 871 19. 4 Kruskal-Wallis Test 882 19. 5 Rank Correlation 887 Summary 891 Glossary 892 Key Formulas 893 Supplementary Exercises 893 Appendix 19. 1 Nonparametric Methods with Minitab 896 Appendix 19. 2 Nonparametric Methods with Excel 899 Appendix 19. 3 Nonparametric Methods with StatTools 901 Chapter 20 Statistical Methods for Quality Control 903 Statistics in Practice: Dow Chemical Company 904 20. 1 Philosophies and Frameworks 905 Malcolm Baldrige National Quality Award 906 ISO 9000 906 Six Sigma 906 20. Statistical Process Control 908 Control Charts 909 _ x Chart: Process Mean and Standard Deviation Known 910 _ x Chart: Process Mean and Standard Deviation Unknown 912 R Chart 915 p Chart 917 np Chart 919 Interpretation of Control Charts 920 20. 3 Acceptance Sampling 922 KALI, Inc. : An Example of Acceptance Sampling 924 Computing the Probability of Accepting a Lot 924 Select ing an Acceptance Sampling Plan 928 Multiple Sampling Plans 930 Summary 931 Glossary 931 Key Formulas 932 Supplementary Exercises 933 Appendix 20. 1 Control Charts with Minitab 935 Appendix 20. 2 Control Charts with StatTools 935 Contents xxiii Chapter 21 Decision Analysis 937 Statistics in Practice: Ohio Edison Company 938 21. Problem Formulation 939 Payoff Tables 940 Decision Trees 940 21. 2 Decision Making with Probabilities 941 Expected Value Approach 941 Expected Value of Perfect Information 943 21. 3 Decision Analysis with Sample Information 949 Decision Tree 950 Decision Strategy 951 Expected Value of Sample Information 954 21. 4 Computing Branch Probabilities Using Bayes’ Theorem 960 Summary 964 Glossary 965 Key Formulas 966 Supplementary Exercises 966 Case Problem: Lawsuit Defense Strategy 969 Appendix: An Introduction to PrecisionTree 970 Chapter 22 Sample Survey On Website Statistics in Practice: Duke Energy 22-2 22. 1 Terminology Used in Sample Surveys 22-2 22. 2 Types of Surveys and Sampling Methods 22-3 22. Survey Errors 22-5 Nonsampling Error 22-5 Sampling Error 22-5 22. 4 Simple Random Sampling 22-6 Population Mean 22-6 Population Total 22-7 Population Proportion 22-8 Determining the Sample Size 22-9 22. 5 Stratified Simple Random Sampling 22-12 Population Mean 22-12 Population Total 22-14 Population Proportion 22-15 Determining the Sample Size 22-16 22. 6 Cluster Sampling 22-21 Population Mean 22-23 Population Total 22-24 Population Proportion 22-25 Determining the Sample Size 22-26 22. 7 Systematic Sampling 22-29 Summary 22-29 xxiv Contents Glossary 22-30 Key Formulas 22-30 Supplementary Exercises 22-34 Appendix: Self-Test Solutions and Answers to Even-Numbered Exercises 22-37Appendix A References and Bibliography 976 Appendix B Tables 978 Appendix C Summation Notation 1005 Appendix D Self-Test Solutions and Answers to Even-Numbered Exercises 1007 Appendix E Using Excel Functions 1062 Appendix F Computing p-Values Using Minitab and Exc el 1067 Index 1071 Preface The purpose of STATISTICS FOR BUSINESS AND ECONOMICS is to give students, primarily those in the fields of business administration and economics, a conceptual introduction to the field of statistics and its many applications. The text is applications oriented and written with the needs of the nonmathematician in mind; the mathematical prerequisite is knowledge of algebra.Applications of data analysis and statistical methodology are an integral part of the organization and presentation of the text material. The discussion and development of each technique is presented in an application setting, with the statistical results providing insights to decisions and solutions to problems. Although the book is applications oriented, we have taken care to provide sound methodological development and to use notation that is generally accepted for the topic being covered. Hence, students will find that this text provides good preparation for the study of more advanced statistical material. A bibliography to guide further study is included as an appendix.The text introduces the student to the software packages of Minitab 15 and Microsoft ® Office Excel 2007 and emphasizes the role of computer software in the application of statistical analysis. Minitab is illustrated as it is one of the leading statistical software packages for both education and statistical practice. Excel is not a statistical software package, but the wide availability and use of Excel make it important for students to understand the statistical capabilities of this package. Minitab and Excel procedures are provided in appendixes so that instructors have the flexibility of using as much computer emphasis as desired for the course.Changes in the Eleventh Edition We appreciate the acceptance and positive response to the previous editions of STATISTICS FOR BUSINESS AND ECONOMICS. Accordingly, in making modifications for this new edition, we have maintained the presentation style and readability of those editions. The significant changes in the new edition are summarized here. Content Revisions †¢ Revised Chapter 18 — â€Å"Time Series Analysis and Forecasting. † The chapter has been completely rewritten to focus more on using the pattern in a time series plot to select an appropriate forecasting method. We begin with a new Section 18. 1 on time series patterns, followed by a new Section 18. on methods for measuring forecast accuracy. Section 18. 3 discusses moving averages and exponential smoothing. Section 18. 4 introduces methods appropriate for a time series that exhibits a trend. Here we illustrate how regression analysis and Holt’s linear exponential smoothing can be used for linear trend projection, and then discuss how regression analysis can be used to model nonlinear relationships involving a quadratic trend and an exponential growth. Section 18. 5 then shows how dummy variables can be used to model seasonality in a foreca sting equation. Section 18. 6 discusses classical time series decomposition, including the concept of deseasonalizing a time series.There is a new appendix on forecasting using the Excel add-in StatTools and most exercises are new or updated. †¢ Revised Chapter 19 — â€Å"Nonparametric Methods. † The treatment of nonparametric methods has been revised and updated. We contrast each nonparametric method xxvi Preface †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ with its parametric counterpart and describe how fewer assumptions are required for the nonparametric procedure. The sign test emphasizes the test for a population median, which is important in skewed populations where the median is often the preferred measure of central location. The Wilcoxon Rank-Sum test is used for both matched samples tests and tests about a median of a symmetric population.A new small-sample application of the Mann-Whitney-Wilcoxon test shows the exact sampling distrib ution of the test statistic and is used to explain why the sum of the signed ranks can be used to test the hypothesis that the two populations are identical. The chapter concludes with the Kruskal-Wallis test and rank correlation. New chapter ending appendixes describe how Minitab, Excel, and StatTools can be used to implement nonparametric methods. Twenty-seven data sets are now available to facilitate computer solution of the exercises. StatTools Add-In for Excel. Excel 2007 does not contain statistical functions or data analysis tools to perform all the statistical procedures discussed in the text.StatTools is a commercial Excel 2007 add-in, developed by Palisades Corporation, that extends the range of statistical options for Excel users. In an appendix to Chapter 1 we show how to download and install StatTools, and most chapters include a chapter appendix that shows the steps required to accomplish a statistical procedure using StatTools. We have been very careful to make the us e of StatTools completely optional so that instructors who want to teach using the standard tools available in Excel 2007 can continue to do so. But users who want additional statistical capabilities not available in standard Excel 2007 now have access to an industry standard statistics add-in that students will be able to continue to use in the workplace. Change in Terminology for Data.In the previous edition, nominal and ordinal data were classified as qualitative; interval and ratio data were classified as quantitative. In this edition, nominal and ordinal data are referred to as categorical data. Nominal and ordinal data use labels or names to identify categories of like items. Thus, we believe that the term categorical is more descriptive of this type of data. Introducing Data Mining. A new section in Chapter 1 introduces the relatively new field of data mining. We provide a brief overview of data mining and the concept of a data warehouse. We also describe how the fields of st atistics and computer science join to make data mining operational and valuable. Ethical Issues in Statistics.Another new section in Chapter 1 provides a discussion of ethical issues when presenting and interpreting statistical information. Updated Excel Appendix for Tabular and Graphical Descriptive Statistics. The chapter-ending Excel appendix for Chapter 2 shows how the Chart Tools, PivotTable Report, and PivotChart Report can be used to enhance the capabilities for displaying tabular and graphical descriptive statistics. Comparative Analysis with Box Plots. The treatment of box plots in Chapter 2 has been expanded to include relatively quick and easy comparisons of two or more data sets. Typical starting salary data for accounting, finance, management, and marketing majors are used to illustrate box plot multigroup comparisons. Revised Sampling Material.The introduction of Chapter 7 has been revised and now includes the concepts of a sampled population and a frame. The distincti on between sampling from a finite population and an infinite population has been clarified, with sampling from a process used to illustrate the selection of a random sample from an infinite population. A practical advice section stresses the importance of obtaining close correspondence between the sampled population and the target population. Revised Introduction to Hypothesis Testing. Section 9. 1, Developing Null and Alternative Hypotheses, has been revised. A better set of guidelines has been developed for identifying the null and alternative hypotheses.The context of the situation and the purpose for taking the sample are key. In situations in which the Preface xxvii †¢ †¢ †¢ †¢ focus is on finding evidence to support a research finding, the research hypothesis is the alternative hypothesis. In situations where the focus is on challenging an assumption, the assumption is the null hypothesis. New PrecisionTree Software for Decision Analysis. PrecisionTree is a nother Excel add-in developed by Palisades Corporation that is very helpful in decision analysis. Chapter 21 has a new appendix which shows how to use the PrecisionTree add-in. New Case Problems. We have added 5 new case problems to this edition, bringing the total number of case problems to 31.A new case problem on descriptive statistics appears in Chapter 3 and a new case problem on hypothesis testing appears in Chapter 9. Three new case problems have been added to regression in Chapters 14, 15, and 16. These case problems provide students with the opportunity to analyze larger data sets and prepare managerial reports based on the results of the analysis. New Statistics in Practice Applications. Each chapter begins with a Statistics in Practice vignette that describes an application of the statistical methodology to be covered in the chapter. New to this edition are Statistics in Practice articles for Oceanwide Seafood in Chapter 4 and the London-based marketing services company d unnhumby in Chapter 15. New Examples and Exercises Based on Real Data.We continue to make a significant effort to update our text examples and exercises with the most current real data and referenced sources of statistical information. In this edition, we have added approximately 150 new examples and exercises based on real data and referenced sources. Using data from sources also used by The Wall Street Journal, USA Today, Barron’s, and others, we have drawn from actual studies to develop explanations and to create exercises that demonstrate the many uses of statistics in business and economics. We believe that the use of real data helps generate more student interest in the material and enables the student to learn about both the statistical methodology and its application. The eleventh edition of the text contains over 350 examples and exercises based on real data.Features and Pedagogy Authors Anderson, Sweeney, and Williams have continued many of the features that appeare d in previous editions. Important ones for students are noted here. Methods Exercises and Applications Exercises The end-of-section exercises are split into two parts, Methods and Applications. The Methods exercises require students to use the formulas and make the necessary computations. The Applications exercises require students to use the chapter material in real-world situations. Thus, students first focus on the computational â€Å"nuts and bolts† and then move on to the subtleties of statistical application and interpretation. Self-Test ExercisesCertain exercises are identified as â€Å"Self-Test Exercises. † Completely worked-out solutions for these exercises are provided in Appendix D at the back of the book. Students can attempt the Self-Test Exercises and immediately check the solution to evaluate their understanding of the concepts presented in the chapter. Margin Annotations and Notes and Comments Margin annotations that highlight key points and provide ad ditional insights for the student are a key feature of this text. These annotations, which appear in the margins, are designed to provide emphasis and enhance understanding of the terms and concepts being presented in the text. xxviii PrefaceAt the end of many sections, we provide Notes and Comments designed to give the student additional insights about the statistical methodology and its application. Notes and Comments include warnings about or limitations of the methodology, recommendations for application, brief descriptions of additional technical considerations, and other matters. Data Files Accompany the Text Over 200 data files are available on the website that accompanies the text. The data sets are available in both Minitab and Excel formats. File logos are used in the text to identify the data sets that are available on the website. Data sets for all case problems as well as data sets for larger exercises are included. Acknowledgments A special thank you goes to Jeffrey D. Camm, University of Cincinnati, and James J.Cochran, Louisiana Tech University, for their contributions to this eleventh edition of Statistics for Business and Economics. Professors Camm and Cochran provided extensive input for the new chapters on forecasting and nonparametric methods. In addition, they provided helpful input and suggestions for new case problems, exercises, and Statistics in Practice articles. We would also like to thank our associates from business and industry who supplied the Statistics in Practice features. We recognize them individually by a credit line in each of the articles. Finally, we are also indebted to our senior acquisitions editor Charles McCormick, Jr. , our developmental editor Maggie Kubale, our content project manager, Jacquelyn K Featherly, our marketing manager Bryant T.Chrzan, and others at Cengage South-Western for their editorial counsel and support during the preparation of this text. David R. Anderson Dennis J. Sweeney Thomas A. Williams About the Authors David R. Anderson. David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. Born in Grand Forks, North Dakota, he earned his B. S. , M. S. , and Ph. D. degrees from Purdue University. Professor Anderson has served as Head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration at the University of Cincinnati. In addition, he was the coordinator of the College’s first Executive Program.At the University of Cincinnati, Professor Anderson has taught introductory statistics for business students as well as graduate-level courses in regression analysis, multivariate analysis, and management science. He has also taught statistical courses at the Department of Labor in Washington, D. C. He has been honored with nominations and awards for excellence in teaching and excellence in service to student organizations. Profe ssor Anderson has coauthored 10 textbooks in the areas of statistics, management science, linear programming, and production and operations management. He is an active consultant in the field of sampling and statistical methods. Dennis J.Sweeney. Dennis J. Sweeney is Professor of Quantitative Analysis and Founder of the Center for Productivity Improvement at the University of Cincinnati. Born in Des Moines, Iowa, he earned a B. S. B. A. degree from Drake University and his M. B. A. and D. B. A. degrees from Indiana University, where he was an NDEA Fellow. During 1978–79, Professor Sweeney worked in the management science group at Procter & Gamble; during 1981–82, he was a visiting professor at Duke University. Professor Sweeney served as Head of the Department of Quantitative Analysis and as Associate Dean of the College of Business Administration at the University of Cincinnati.Professor Sweeney has published more than 30 articles and monographs in the area of managem ent science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger, and Cincinnati Gas & Electric have funded his research, which has been published in Management Science, Operations Research, Mathematical Programming, Decision Sciences, and other journals. Professor Sweeney has coauthored 10 textbooks in the areas of statistics, management science, linear programming, and production and operations management. Thomas A. Williams. Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology.Born in Elmira, New York, he earned his B. S. degree at Clarkson University. He did his graduate work at Rensselaer Polytechnic Institute, where he received his M. S. and Ph. D. degrees. Before joining the College of Business at RIT, Professor Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed th e undergraduate program in Information Systems and then served as its coordinator. At RIT he was the first chairman of the Decision Sciences Department. He teaches courses in management science and statistics, as well as graduate courses in regression and decision analysis.Professor Williams is the coauthor of 11 textbooks in the areas of management science, statistics, production and operations management, and mathematics. He has been a consultant for numerous Fortune 500 companies and has worked on projects ranging from the use of data analysis to the development of large-scale regression models. This page intentionally left blank STATISTICS FOR BUSINESS AND ECONOMICS 11e This page intentionally left blank CHAPTER Data and Statistics CONTENTS STATISTICS IN PRACTICE: BUSINESSWEEK 1. 1 APPLICATIONS IN BUSINESS AND ECONOMICS Accounting Finance Marketing Production Economics DATA Elements, Variables, and Observations Scales of Measurement Categorical and Quantitative Data Cross-Sectio nal and Time Series Data 1. DATA SOURCES Existing Sources Statistical Studies Data Acquisition Errors DESCRIPTIVE STATISTICS STATISTICAL INFERENCE COMPUTERS AND STATISTICAL ANALYSIS DATA MINING ETHICAL GUIDELINES FOR STATISTICAL PRACTICE 1 1. 4 1. 5 1. 6 1. 7 1. 8 1. 2 2 Chapter 1 Data and Statistics STATISTICS in PRACTICE NEW YORK, NEW YORK BUSINESSWEEK* With a global circulation of more than 1 million, BusinessWeek is the most widely read business magazine in the world. More than 200 dedicated reporters and editors in 26 bureaus worldwide deliver a variety of articles of interest to the business and economic community. Along with feature articles on current topics, the magazine contains regular sections on International Business, Economic Analysis, Information Processing, and Science & Technology.Information in the feature articles and the regular sections helps readers stay abreast of current developments and assess the impact of those developments on business and economic condit ions. Most issues of BusinessWeek provide an in-depth report on a topic of current interest. Often, the in-depth reports contain statistical facts and summaries that help the reader understand the business and economic information. For example, the February 23, 2009 issue contained a feature article about the home foreclosure crisis, the March 17, 2009 issue included a discussion of when the stock market would begin to recover, and the May 4, 2009 issue had a special report on how to make pay cuts less painful.In addition, the weekly BusinessWeek Investor provides statistics about the state of the economy, including production indexes, stock prices, mutual funds, and interest rates. BusinessWeek also uses statistics and statistical information in managing its own business. For example, an annual survey of subscribers helps the company learn about subscriber demographics, reading habits, likely purchases, lifestyles, and so on. BusinessWeek managers use statistical summaries from the survey to provide better services to subscribers and advertisers. One recent North *The authors are indebted to Charlene Trentham, Research Manager at BusinessWeek, for providing this Statistics in Practice. BusinessWeek uses statistical facts and summaries in many of its articles.  © Terri Miller/E-Visual Communications, Inc.American subscriber survey indicated that 90% of BusinessWeek subscribers use a personal computer at home and that 64% of BusinessWeek subscribers are involved with computer purchases at work. Such statistics alert BusinessWeek managers to subscriber interest in articles about new developments in computers. The results of the survey are also made available to potential advertisers. The high percentage of subscribers using personal computers at home and the high percentage of subscribers involved with computer purchases at work would be an incentive for a computer manufacturer to consider advertising in BusinessWeek. In this chapter, we discuss the types of d ata available for statistical analysis and describe how the data are obtained.We introduce descriptive statistics and statistical inference as ways of converting data into meaningful and easily interpreted statistical information. Frequently, we see the following types of statements in newspapers and magazines: †¢ The National Association of Realtors reported that the median price paid by firsttime home buyers is $165,000 (The Wall Street Journal, February 11, 2009). †¢ NCAA president Myles Brand reported that college athletes are earning degrees at record rates. Latest figures show that 79% of all men and women student-athletes graduate (Associated Press, October 15, 2008). †¢ The average one-way travel time to work is 25. 3 minutes (U. S. Census Bureau, March 2009). 1. 1 Applications in Business and Economics 3 †¢ A record high 11% of U. S. omes are vacant, a glut created by the housing boom and subsequent collapse (USA Today, February 13, 2009). †¢ The na tional average price for regular gasoline reached $4. 00 per gallon for the first time in history (Cable News Network website, June 8, 2008). †¢ The New York Yankees have the highest salaries in major league baseball. The total payroll is $201,449,289 with a median salary of $5,000,000 (USA Today Salary Data Base, April 2009). †¢ The Dow Jones Industrial Average closed at 8721 (The Wall Street Journal, June 2, 2009). The numerical facts in the preceding statements ($165,000, 79%, 25. 3, 11%, $4. 00, $201,449,289, $5,000,000 and 8721) are called statistics.In this usage, the term statistics refers to numerical facts such as averages, medians, percents, and index numbers that help us understand a variety of business and economic situations. However, as you will see, the field, or subject, of statistics involves much more than numerical facts. In a broader sense, statistics is defined as the art and science of collecting, analyzing, presenting, and interpreting data. Particul arly in business and economics, the information provided by collecting, analyzing, presenting, and interpreting data gives managers and decision makers a better understanding of the business and economic environment and thus enables them to make more informed and better decisions. In this text, we emphasize the use of statistics for business and economic decision making.Chapter 1 begins with some illustrations of the applications of statistics in business and economics. In Section 1. 2 we define the term data and introduce the concept of a data set. This section also introduces key terms such as variables and observations, discusses the difference between quantitative and categorical data, and illustrates the uses of cross-sectional and time series data. Section 1. 3 discusses how data can be obtained from existing sources or through survey and experimental studies designed to obtain new data. The important role that the Internet now plays in obtaining data is also highlighted. The uses of data in developing descriptive statistics and in making statistical inferences are described in Sections 1. 4 and 1. 5.The last three sections of Chapter 1 provide the role of the computer in statistical analysis, an introduction to the relative new field of data mining, and a discussion of ethical guidelines for statistical practice. A chapter-ending appendix includes an introduction to the add-in StatTools which can be used to extend the statistical options for users of Microsoft Excel. 1. 1 Applications in Business and Economics In today’s global business and economic environment, anyone can access vast amounts of statistical information. The most successful managers and decision makers understand the information and know how to use it effectively. In this section, we provide examples that illustrate some of the uses of statistics in business and economics. Accounting Public accounting firms use statistical sampling procedures when conducting audits for their clien ts.For instance, suppose an accounting firm wants to determine whether the amount of accounts receivable shown on a client’s balance sheet fairly represents the actual amount of accounts receivable. Usually the large number of individual accounts receivable makes reviewing and validating every account too time-consuming and expensive. As common practice in such situations, the audit staff selects a subset of the accounts called a sample. After reviewing the accuracy of the sampled accounts, the auditors draw a conclusion as to whether the accounts receivable amount shown on the client’s balance sheet is acceptable. 4 Chapter 1 Data and Statistics Finance Financial analysts use a variety of statistical information to guide their investment recommendations.In the case of stocks, the analysts review a variety of financial data including price/earnings ratios and dividend yields. By comparing the information for an individual stock with information about the stock market a verages, a financial analyst can begin to draw a conclusion as to whether an individual stock is over- or underpriced. For example, Barron’s (February 18, 2008) reported that the average dividend yield for the 30 stocks in the Dow Jones Industrial Average was 2. 45%. Altria Group showed a dividend yield of 3. 05%. In this case, the statistical information on dividend yield indicates a higher dividend yield for Altria Group than the average for the Dow Jones stocks. Therefore, a financial analyst might conclude that Altria Group was underpriced.This and other information about Altria Group would help the analyst make a buy, sell, or hold recommendation for the stock. Marketing Electronic scanners at retail checkout counters collect data for a variety of marketing research applications. For example, data suppliers such as ACNielsen and Information Resources, Inc. , purchase point-of-sale scanner data from grocery stores, process the data, and then sell statistical summaries of the data to manufacturers. Manufacturers spend hundreds of thousands of dollars per product category to obtain this type of scanner data. Manufacturers also purchase data and statistical summaries on promotional activities such as special pricing and the use of in-store displays.Brand managers can review the scanner statistics and the promotional activity statistics to gain a better understanding of the relationship between promotional activities and sales. Such analyses often prove helpful in establishing future marketing strategies for the various products. Production Today’s emphasis on quality makes quality control an important application of statistics in production. A variety of statistical quality control charts are used to monitor the output of a production process. In particular, an x-bar chart can be used to monitor the average output. Suppose, for example, that a machine fills containers with 12 ounces of a soft drink. Periodically, a production worker selects a sa mple of containers and computes the average number of ounces in the sample.This average, or x-bar value, is plotted on an x-bar chart. A plotted value above the chart’s upper control limit indicates overfilling, and a plotted value below the chart’s lower control limit indicates underfilling. The process is termed â€Å"in control† and allowed to continue as long as the plotted x-bar values fall between the chart’s upper and lower control limits. Properly interpreted, an x-bar chart can help determine when adjustments are necessary to correct a production process. Economics Economists frequently provide forecasts about the future of the economy or some aspect of it. They use a variety of statistical information in making such forecasts.For instance, in forecasting inflation rates, economists use statistical information on such indicators as the Producer Price Index, the unemployment rate, and manufacturing capacity utilization. Often these statistical ind icators are entered into computerized forecasting models that predict inflation rates. Applications of statistics such as those described in this section are an integral part of this text. Such examples provide an overview of the breadth of statistical applications. To supplement these examples, practitioners in the fields of business and economics provided chapter-opening Statistics in Practice articles that introduce the material covered in each chapter.The Statistics in Practice applications show the importance of statistics in a wide variety of business and economic situations. 1. 2 Data 5 1. 2 Data Data are the facts and figures collected, analyzed, and summarized for presentation and interpretation. All the data collected in a particular study are referred to as the data set for the study. Table 1. 1 shows a data set containing information for 25 mutual funds that are part of the Morningstar Funds500 for 2008. Morningstar is a company that tracks over 7000 mutual funds and pre pares in-depth analyses of 2000 of these. Their recommendations are followed closely by financial analysts and individual investors. Elements, Variables, and Observations Elements are the entities on which data are collected.For the data set in Table 1. 1 each individual mutual fund is an element: the element names appear in the first column. With 25 mutual funds, the data set contains 25 elements. A variable is a characteristic of interest for the elements. The data set in Table 1. 1 includes the following five variables: †¢ Fund Type: The type of mutual fund, labeled DE (Domestic Equity), IE (International Equity), and FI (Fixed Income) †¢ Net Asset Value ($): The closing price per share on December 31, 2007 TABLE 1. 1 DATA SET FOR 25 MUTUAL FUNDS 5-Year Expense Net Asset Average Ratio Morningstar Value ($) Return (%) (%) Rank 14. 37 10. 73 24. 94 16. 92 35. 73 13. 47 73. 1 48. 39 45. 60 8. 60 49. 81 15. 30 17. 44 27. 86 40. 37 10. 68 26. 27 53. 89 22. 46 37. 53 12. 10 2 4. 42 15. 68 32. 58 35. 41 30. 53 3. 34 10. 88 15. 67 15. 85 17. 23 17. 99 23. 46 13. 50 2. 76 16. 70 15. 31 15. 16 32. 70 9. 51 13. 57 23. 68 51. 10 16. 91 15. 46 4. 31 13. 41 2. 37 17. 01 13. 98 1. 41 0. 49 0. 99 1. 18 1. 20 0. 53 0. 89 0. 90 0. 89 0. 45 1. 36 1. 32 1. 31 1. 16 1. 05 1. 25 1. 36 1. 24 0. 80 1. 27 0. 62 0. 29 0. 16 0. 23 1. 19 3-Star 4-Star 3-Star 3-Star 4-Star 3-Star 5-Star 4-Star 3-Star 3-Star 4-Star 3-Star 5-Star 3-Star 2-Star 3-Star 4-Star 4-Star 4-Star 4-Star 3-Star 4-Star 3-Star 3-Star 4-Star Fund Name American Century Intl.Disc American Century Tax-Free Bond American Century Ultra Artisan Small Cap Brown Cap Small DFA U. S. Micro Cap Fidelity Contrafund Fidelity Overseas Fidelity Sel Electronics Fidelity Sh-Term Bond Gabelli Asset AAA Kalmar Gr Val Sm Cp Marsico 21st Century Mathews Pacific Tiger Oakmark I PIMCO Emerg Mkts Bd D RS Value A T. Rowe Price Latin Am. T. Rowe Price Mid Val Thornburg Value A USAA Income Vanguard Equity-Inc Vanguard Sht-Tm TE Vangua rd Sm Cp Idx Wasatch Sm Cp Growth Fund Type IE FI DE DE DE DE DE IE DE FI DE DE DE IE DE FI DE IE DE DE FI DE FI DE DE WEB file Morningstar Data sets such as Morningstar are available on the website for this text. Source: Morningstar Funds500 (2008). 6 Chapter 1Data and Statistics †¢ 5-Year Average Return (%): The average annual return for the fund over the past 5 years †¢ Expense Ratio: The percentage of assets deducted each fiscal year for fund expenses †¢ Morningstar Rank: The overall risk-adjusted star rating for each fund; Morningstar ranks go from a low of 1-Star to a high of 5-Stars Measurements collected on each variable for every element in a study provide the data. The set of measurements obtained for a particular element is called an observation. Referring to Table 1. 1 we see that the set of measurements for the first observation (American Century Intl. Disc) is IE, 14. 37, 30. 53, 1. 41, and 3-Star.The set of measurements for the second observation (Ameri can Century Tax-Free Bond) is FI, 10. 73, 3. 34, 0. 49, and 4-Star, and so on. A data set with 25 elements contains 25 observations. Scales of Measurement Data collection requires one of the following scales of measurement: nominal, ordinal, interval, or ratio. The scale of measurement determines the amount of information contained in the data and indicates the most appropriate data summarization and statistical analyses. When the data for a variable consist of labels or names used to identify an attribute of the element, the scale of measurement is considered a nominal scale. For example, referring to the data in Table 1. , we see that the scale of measurement for the Fund Type variable is nominal because DE, IE, and FI are labels used to identify the category or type of fund. In cases where the scale of measurement is nominal, a numeric code as well as nonnumeric labels may be used. For example, to facilitate data collection and to prepare the data for entry into a computer databa se, we might use a numeric code by letting 1 denote Domestic Equity, 2 deno