![]() ![]() The same is assumed for the sample of women, though of course, the two probabilities may differ. It is assumed that each man in the sample of men had the same probability of responding yes. ![]() The number of men responding Yes is observed to be 30 and the number of women responding Yes was 45. Suppose you want to compare the proportions responding Yes to a question in independent samples of 100 men and 100 women. This is equivalent to the well-known Z test for comparing two independent proportions. Specify the CHISQ option in the TABLES statement of PROC FREQ to compute this test. You can test the equality of two proportions obtained from independent samples using the Pearson chi-square test.
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