The power of a test is the probability of making:
A) a correct decision when the null hypothesis is false.
B) a correct decision when the null hypothesis is true.
C) an incorrect decision when the null hypothesis is false.
D) an incorrect decision when the null hypothesis is true.

Question

Quizplus · Accepted Answer

The power of a test is the probability of correctly rejecting the null hypothesis when it is actually false, which means making a correct decision when the null hypothesis is false. Therefore, the best choice is option A.

The Power of a Test Is the Probability of Making