1. Hypothesis Testing Framework: - The most powerful test \( \psi_0 \) is derived from the Neyman-Pearson Lemma for testing \( H_0: \theta = \theta_0 \) against \( H_1: \theta = \theta_1 \) when \( \theta_1 > \theta_0 \). - The rejection region of \( \psi_0 \) is determined by the likelihood ratio.
2. Uniformly Most Powerful (UMP) Test: - When \( \theta_1 > \theta_0 \), the test \( \psi_0 \) is the UMP test for testing \( H_0: \theta = \theta_0 \) against \( H_1: \theta > \theta_0 \) at level \( \alpha \).
3. Relationship Between \( \alpha \) and \( \beta \): - The size \( \alpha \) of the test is the probability of rejecting \( H_0 \) when \( H_0 \) is true. - The power \( \beta \) is the probability of rejecting \( H_0 \) when \( H_1 \) is true. - Since the test is designed to maximize power, \( \beta > \alpha \) when \( \theta_1 > \theta_0 \).
4. Correctness of Statements: - (A): \( \beta < \alpha \) is incorrect because \( \beta > \alpha \). - (B): \( \psi_0 \) is the UMP test for \( H_0: \theta = \theta_0 \) against \( H_1: \theta > \theta_0 \), which is correct. - (C): \( \alpha < \beta \) is incorrect because it assumes \( H_1 \) as a one-sided alternative. - (D): \( \psi_0 \) is not UMP for \( H_0: \theta = \theta_0 \) against \( H_1: \theta < \theta_0 \), so it is incorrect