Failing to reject the null hypothesis when it is actually false is a
A) Type I error.
B) Type II error.
C) standard error.
D) silly thing to do.

Question

Quizplus · Accepted Answer

A Type II error occurs when the null hypothesis is not rejected even though it is false. This means that the evidence was not strong enough to support the alternative hypothesis, even though the alternative hypothesis is true.

Failing to Reject the Null Hypothesis When It Is Actually