1) A null Hypothesis assumes that a process is producing no more than a maximum allowable rate of defective items. The Type II error is to conclude that the process?

Question

2) If 95% confidence limits for the mean Mu turn out to be (6.5,8.5)

Answer 1

A type II error is a statistical term used within the context of hypothesis testing that describes the error that occurs when one fails to reject a null hypothesis that is actually false. The error rejects the alternative hypothesis, even though it does not occur due to chance.

Complete #2.

Answer 2

Congrats @Frank, after nearly 14 years you finally got part of your answer!