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

Question

Quizplus · Accepted Answer

The mean of the sampling distribution of sample means is equal to the population mean. This is known as the central limit theorem, which states that as the sample size increases, the distribution of sample means will approach a normal distribution with a mean equal to the population mean. This implies that if we take multiple random samples from a population and calculate the mean of each sample, the average of all those sample means will be equal to the population mean.

The Mean of the Sampling Distribution of Sample Means Is