Sometimes we reject the null hypothesis when it is true. This is technically referred to as
A) a Type I error.
B) a Type II error.
C) a mistake.
D) good fortune.

Question

Quizplus · Accepted Answer

Rejecting the null hypothesis when it is actually true is known as a Type I error. A Type I error occurs when we conclude that there is a significant effect or relationship between variables when in reality there is not. It is also known as a false positive.

Sometimes We Reject the Null Hypothesis When It Is True