Which of the following is an accurate definition of a Type II error?
A)Rejecting a false null hypothesis
B)Rejecting a true null hypothesis
C)Failing to reject a false null hypothesis
D)Failing to reject a true null hypothesis

Question

Which of the following is an accurate definition of a Type II error?​​
A)​Rejecting a false null hypothesis
B)​Rejecting a true null hypothesis
C)​Failing to reject a false null hypothesis
D)​Failing to reject a true null hypothesis

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 that actually exists.

Which of the Following Is an Accurate Definition of a Type