Failing to reject the null hypothesis when the alternative hypothesis is true is known as a:
A) Type II error.
B) Type III error.
C) Type IV error.
D) Type I error.

Question

Quizplus · Accepted Answer

Failing to reject the null hypothesis when the alternative hypothesis is actually true is a Type II error. This means that we fail to detect a significant difference or effect when one actually exists. A Type III or Type IV error do not exist in classical hypothesis testing, and a Type I error is the rejection of a true null hypothesis.

Failing to Reject the Null Hypothesis When the Alternative Hypothesis