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

Question

Quizplus · Accepted Answer

The power of a test is the probability of rejecting the null hypothesis when it is false, which means that the test is able to detect a true alternative hypothesis. This is the opposite of a Type II error, where the null hypothesis is not rejected even though it is false. The level of significance (choice B) is the probability of making a Type I error, where the null hypothesis is rejected even though it is true.

The ________ Is the Probability of Rejecting the Null Hypothesis