Failing to reject the null hypothesis when it is actually true is a
A) Type I error.
B) Type II error.
C) reasonable thing to do.
D) result of an inappropriate level of confidence.

Question

Quizplus · Accepted Answer

Failing to reject the null hypothesis when it is actually true is the correct decision in hypothesis testing, as it means the evidence was not strong enough to support the alternative hypothesis.

Failing to Reject the Null Hypothesis When It Is Actually