When the null hypothesis of a statistical test is rejected when,in fact,it is true,this
Represents a(n):
A)Beta error
B)Type I error
C)Type IV error
D)Type III error
E)Type II error

Question

Quizplus · Accepted Answer

Rejecting the null hypothesis when it is actually true is a Type I error. This means that we have falsely concluded that there is a significant difference or relationship, when in reality there isn't. A beta error, on the other hand, refers to failing to reject the null hypothesis when it is actually false, while Type III and IV errors are not commonly used or recognized in statistical testing. Type II error refers to failing to reject the null hypothesis when it is actually true.

When the Null Hypothesis of a Statistical Test Is Rejected