Tests of homogeneity are used to compare several binomial populations.
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Q. 2All expected cell counts must equal ten in order that the chi-square approximation is valid.
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Q. 3The large-sample z tests for one and two binomial proportions are special cases of the chi-square statistic.
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Q. 4When either the row or column totals in a contingency table are fixed, the test of independence of classifications becomes a test of the homogeneity of cell probabilities for several multinomial experiments.
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Q. 5The goodness-of-fit test is a two-way classification will cell probabilities specified in H0.
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Q. 6The data that result from two binomial experiment can be displayed as a two-way classification with 2 rows and 2 columns, so that the chi-square test of homogeneity can be used to compare the two binomial proportions p1 and p2.
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Q. 7When there are only 2 categories in a multinomial experiment, the experiment reduces to a binomial experiment.
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Q. 8The chi-square technique is a statistical technique for testing the alleged independence of two qualitative variables, making inferences about the relative sizes of more than two population proportions, and conducting goodness-of-fit tests to assess the plausibility that sample data come from a population that conforms to a specified probability distribution.
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