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CHAPTER 10 LEARNING OBJECTIVES AFTER READING THIS CHAPTER, YOU WILL BE ABLE TO . . .

CHAPTER 10 LEARNING OBJECTIVES AFTER READING THIS CHAPTER, YOU WILL BE ABLE TO . . .

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Chapter 10 Learning ObjectivesAfter reading this chapter, you will be able to . . .1. describe nominal data.2. complete and explain the chi-square goodness-of-fit-test.3. complete and explain the chi-square test of independence.tan66480_10_c10_p285-310.indd 28510/3/11 3:05 PMSection 10.1 Nominal DataCHAPTER 10When there was an important development in statistical analysis in the early part ofthe 20th century, more often than not Karl Pearson was associated with it. Many ofthose who made important contributions were members of the department that Pearsonfounded at University College London. William Sealy Gosset, who developed the t-tests,R. A. Fisher, who developed analysis of variance, and Charles Spearman, who developedfactor analysis, all gravitated to Pearson’s department at some point. Although socialrelations among these men were not always harmonious, they were enormously productive scholars, and this was particularly true of Pearson. Besides the correlation coefficientnamed for him, Pearson also developed an analytical approach related to Spearman’sfactor analysis called principal components analysis, and he developed the proceduresthat are the subjects of this chapter, the chi-square tests. The Greek letter chi (x) is pronounced “kie” like “pie.” Chi is the equivalent of the letter c, rather than the letter x,which it resembles.10.1 Nominal Data

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