Rejecting the null hypothesis when it should have been accepted, causes the
A) Type 1 error
B) Type 2 error
C) loss of degrees of freedom
D) all of these, depending on the sample size

Question

Quizplus · Accepted Answer

Rejecting the null hypothesis when it should have been accepted is a Type 1 error, which is the error of concluding that there is a significant effect or relationship when there is none in reality. This error is also known as a false positive. It is not related to the loss of degrees of freedom or sample size.

Rejecting the Null Hypothesis When It Should Have Been Accepted