In terms of signal and noise,a Type II error represents a ____.
A)false positive
B)false negative
C)true positive
D)true negative

Question

Quizplus · Accepted Answer

A Type II error occurs when we fail to reject a null hypothesis that is actually false. This means we conclude that there is no effect, when in reality there is one. Therefore, a Type II error represents a false negative, where we fail to detect a true signal (the effect) among the noise (the variability in our data).

In Terms of Signal and Noise,a Type II Error Represents