Contents
Contents10 Chi Square Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Chi Square Distribution . . . . . . . . . . . . . . . . . . Goodness of Fit Test . . . . . . . . . . . . . . . . . . . . . . . Chi Square Test for Independence . . . . . . . . . . . . . . . Statistical Relationships and Association . . . . . . . . A Test for Independence . . . . . . . . . . . . . . . . . Notation for the Test of Independence . . . . . . . . . Reporting Chi Square tests for Independence . . . . . Test of Independence from an SPSS Program . . . . . Summary . . . . . . . . . . . . . . . . . . . . . . . . . Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . 764702Chapter 10Chi Square IntroductionThe statistical inference of the last three chapters has concentrated on statis-tics such as the mean and the proportion.
Chi-Square Tests 706 Figure 10.1: ´2 Distribution with 5 Degrees of Freedom grouped. In the chi square tests, the null hypothesis makes a statement concerning how many cases are to be expected in each category if this
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