The ________ is the probability of rejecting the null hypothesis when it is in fact false,and should be rejected.
A) level of significance
B) Type II error
C) power of a test
D) Type I error

Question

Quizplus · Accepted Answer

The power of a test is the probability of correctly rejecting the null hypothesis when it is actually false, meaning that the alternative hypothesis should be accepted. It is related to the probability of a Type II error, which is the probability of failing to reject the null hypothesis when it is actually false. The level of significance (choice A) is the probability of rejecting the null hypothesis when it is actually true, and should not be rejected. A Type I error (choice D) is the probability of rejecting the null hypothesis when it is actually true.

The ________ Is the Probability of Rejecting the Null Hypothesis