A Type II error is defined as:
A) rejecting a true null hypothesis.
B) rejecting a false null hypothesis.
C) failing to reject a true null hypothesis.
D) failing to reject a false null hypothesis.

Question

Quizplus · Accepted Answer

A Type II error occurs when the null hypothesis is false, but the statistical analysis fails to reject it. This means that the error is in not identifying an effect or difference when one actually exists.

A Type II Error Is Defined As