Failing to reject the null hypothesis when in reality there was an effect present represents:
A) Type I error
B) Type II error
C) sampling error
D) random error

Question

Quizplus · Accepted Answer

Failing to reject the null hypothesis when in reality there was an effect present represents a Type II error. Type II errors occur when we accept the null hypothesis (fail to reject it) when it is actually false. In other words, we incorrectly conclude that there is no effect or relationship when there actually is one.

Failing to Reject the Null Hypothesis When in Reality There