SOLUTION
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.
