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
E) Z score

Question

Quizplus · Accepted Answer

The power of a test is the probability of correctly rejecting the null hypothesis when it is false. It is important to have a high power of a test in order to minimize the chances of making a type II error (false negative).

The _____ Is the Probability of Rejecting the Null Hypothesis