More Powerful Tests from Confidence Interval p Values |
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| Authors: | Roger L. Berger |
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| Affiliation: | Statistics Department , North Carolina State University , Raleigh , NC , 27695-8203 , USA |
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| Abstract: | In this article the problem of comparing two independent binomial populations is considered. It is shown that the test based on the confidence interval p value of Berger and Boos often is uniformly more powerful than the standard unconditional test. This test also requires less computational time. |
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| Keywords: | Binomial Confidence interval Contingency table Homogeneity test Independence p value, 2×2 table. |
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