A Type II error is the probability of
A) finding a difference that is really there.
B) finding a difference that is not really there.
C) not finding a difference that is really there.
D) not finding a difference that is not really there.

Question

Quizplus · Accepted Answer

A Type II error is when we fail to reject a null hypothesis that is actually false. This means that there is a difference that exists between groups or variables, but we were unable to detect it in our analysis. Therefore, the probability of not finding a difference that is actually there is the definition of a Type II error.

A Type II Error Is the Probability of