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Methodological analysis reveals superior statistical power and faster computation using confidence interval p-values to compare two binomial populations, suggesting more efficient hypothesis testing.
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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Roger L. Berger (1996) studied this question.
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