A Type I error is defined as:
A)The error of rejecting a hypothesis when the hypothesis is false.
B)The error of not rejecting a hypothesis when the hypothesis is false.
C)The error of rejecting a hypothesis when the hypothesis is true.
D)All of the above

Question

Quizplus · Accepted Answer

A Type I error is defined as the error of rejecting a hypothesis when the hypothesis is true. A Type II error is one in which a hypothesis is not rejected when it is false. The error of rejecting a hypothesis when the hypothesis is false is not an error. The probability of a Type I error occurring during a test is referred to as the "level of significance" of the test.

A Type I Error Is Defined As