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The Neyman-Pearson fundamental lemma gives the method of construction of
EXPLANATION
Applied Statistical Methods
- Neyman-Pearson Fundamental Lemma:
- In hypothesis testing theory, the Neyman-Pearson Lemma provides the necessary and sufficient condition for constructing the Most Powerful (MP) test of size $\alpha$ for testing a simple null hypothesis against a simple alternative hypothesis:
- The optimal rejection region is defined by the likelihood ratio test statistic:
- When the family of distributions possesses a Monotone Likelihood Ratio (MLR), this lemma generalizes to construct Uniformly Most Powerful (UMP) tests for one-sided composite hypotheses.
- Conclusion: The Neyman-Pearson lemma constructs the Most powerful test (Option 2).
Correct option: (2) Most powerful test
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