The error caused by rejecting the null hypothesis when it is,in fact,true is called a:
A)Type II error
B)confidence level error
C)confidence interval error
D)Type I error

Question

Quizplus · Accepted Answer

The error caused by rejecting the null hypothesis when it is, in fact, true is called a Type I error. This error is also known as a false positive and occurs when we conclude that there is a significant effect or difference when there is not one. Type II error, on the other hand, is the error caused by failing to reject the null hypothesis when it is, in fact, false. This error is also known as a false negative and occurs when we conclude that there is no significant effect or difference when there is one. Confidence level error and confidence interval error are not related to hypothesis testing errors.

The Error Caused by Rejecting the Null Hypothesis When It