Type I and Type II errors refer to the magnitude of variation from the standard.

Question

Quizplus · Accepted Answer

Type I and Type II errors are actually related to statistical hypothesis testing and refer to errors made in accepting or rejecting a null hypothesis. Type I error occurs when a true null hypothesis is rejected, and type II error occurs when a false null hypothesis is accepted. It does not relate to the magnitude of variation from the standard.

Type I and Type II Errors Refer to the Magnitude