The mean square error will be a good estimate of the population variance when
A) when the null hypothesis is true
B) when the null hypothesis is false
C) regardless of whether the null hypothesis is true or false

Question

Quizplus · Accepted Answer

The mean square error is an unbiased estimator of the population variance, and its accuracy does not depend on the truth of the null hypothesis. It is designed to estimate variance based on sample data, regardless of any hypothesis testing context.

The Mean Square Error Will Be a Good Estimate of the Population