If the researcher, in making a statistical test, rejects a true hypothesis, the error is called
A)Type I error
B)Type II error
C)Type III error
D)no error is made
E)none of the above

Question

Quizplus · Accepted Answer

Type I error is when the null hypothesis is actually true but is rejected by the researcher. Type II error is when the null hypothesis is false but the researcher fails to reject it. Type III error is when the researcher uses the wrong statistical test or measurement method. Therefore, the best choice is A, as it accurately describes the scenario where the researcher rejects a true hypothesis.

If the Researcher, in Making a Statistical Test, Rejects a True