The sampling distribution of the mean and the sampling distribution of the variance (when dividing SS by n - 1)
A) are both unbiased estimators.
B) both follow the central limit theorem.
C) are both associated with minimal variance.
D) all of these.

Question

Quizplus · Accepted Answer

The sampling distribution of the mean is an unbiased estimator of the population mean, and the sampling distribution of the variance (when dividing the sum of squares by n - 1) is an unbiased estimator of the population variance. This means that, on average, these statistics will accurately estimate their respective population parameters.

The Sampling Distribution of the Mean and the Sampling Distribution