The power of a test is the probability that it will lead us to:
A)reject the null hypothesis when it is true.
B)reject the null hypothesis when it is false.
C)fail to reject the null hypothesis when it is true.
D)fail to reject the null hypothesis when it is false.

Question

Quizplus · Accepted Answer

The power of a test is defined as the probability of rejecting a false null hypothesis. Therefore, option B is the correct answer. Option A is an error called type I error which means rejecting a true null hypothesis. Option C is an error called type II error which means not rejecting a false null hypothesis. Option D is not relevant in this context.

The Power of a Test Is the Probability That It