A smaller probability of Type II error implies higher power of the test.

Name: A smaller probability of Type II error implies higher power of the test.
Brand: Quizplus
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Question

Quizplus · Accepted Answer

This is true. Power of a test is defined as the probability of correctly rejecting a false null hypothesis (i.e., avoiding a Type II error). Therefore, a smaller probability of making a Type II error (i.e., falsely accepting a false null hypothesis) indicates a higher chance of correctly rejecting it, which means higher power of the test.

A Smaller Probability of Type II Error Implies Higher Power