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. These summary statistics havebeen used to obtain interval estimates and test hypotheses concerning popu-lation parameters.
Chi-Square Tests 705 tribution is based are squared, so that the symbol ´2 is used to denote the distribution. An example of the chi squared distribution is given in Figure 10.1.
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