Question

A type 1 error isA. The correct decisionB. Accepting the null hypothesis when it is falseC. Rejecting the null hypothesis when it is trueD. Both a) and c)E. None of the preceding

Answer 1

Given the question in the tab, the following are the solution steps to answer the question.

STEP 1: Define type 1 error

In statistics, a Type I error is a false positive conclusion, while a Type II error is a false negative conclusion. A type I error is a kind of fault that occurs during the hypothesis testing process when a null hypothesis is rejected, even though it is accurate and should not be rejected.

Hence, the correct answer is:

Rejecting the null hypothesis when it is true.