The mean of the sampling distribution of sample means is
A) equal to the population mean.
B) equal to the population variance.
C) equal to the population mean and equal to the population variance.
D) none of these.

Question

Quizplus · Accepted Answer

The mean of the sampling distribution of sample means is equal to the population mean. This is a fundamental concept in statistics known as the central limit theorem. It states that as the sample size increases, the distribution of sample means becomes approximately normal, with a mean equal to the population mean. Therefore, the mean of the sampling distribution of sample means is an unbiased estimate of the population mean.

The Mean of the Sampling Distribution of Sample Means Is