A Type I error is the result of:
A)improper measurement techniques on the part of the researcher
B)failing to reject the null hypothesis when, in fact, it is true
C)incorrectly rejecting the null hypothesis
D)incorrectly accepting the null hypothesis

Question

Quizplus · Accepted Answer

A Type I error occurs when the null hypothesis is incorrectly rejected (i.e. the researcher concludes there is a significant effect when there is not). This is different from a Type II error, which occurs when the null hypothesis is not rejected when it should be (i.e. the researcher concludes there is no significant effect when there actually is). Improper measurement techniques may lead to measurement errors, but they are not directly related to the Type I error. The other options describe Type II and correct decisions, respectively.

A Type I Error Is the Result Of