A ______ error may be characterized as ______.
A) type I; saying an effect exists when it does not
B) type II; rejecting a true null hypothesis
C) type I; saying an effect does not exist when it does
D) type II; rejecting a false null hypothesis

Question

Quizplus · Accepted Answer

A type I error is when a researcher incorrectly rejects a null hypothesis and concludes that there is a significant effect, when in reality there is not. This is akin to saying an effect exists when it does not, which is described in choice A. Choice B describes a type II error, where the researcher fails to reject a null hypothesis when it is actually false.

A ______ Error May Be Characterized as ______

A Error May Be Characterized as