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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. These summary statistics havebeen used to obtain interval estimates and test hypotheses concerning popu-lation parameters.

Chi-Square Tests 704 square test for independence of two variables. This test begins with a cross classiflcation table of the type examined in Section 6.2 of Chapter 6.

  Chapter, Content, Variable, Chapter 6