For any fixed , the alternative-to-null likelihood ratio iswhich is strictly increasing in for . Consequently the Neyman-Pearson lemma selects the same upper-tail ordering for every such alternative hypothesis. At the null hypothesis value,Thereforeis a uniformly most powerful test of the required exact test size. Its power function is . At its statistical power is one, so including that boundary alternative preserves the conclusion.
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