The mean of a sampling distribution would be equal to the mean of the population from which the sampling distribution is constructed.

Question

Quizplus · Accepted Answer

The mean of a sampling distribution (also known as the expected value of the sample mean) is equal to the mean of the population from which the samples are drawn, according to the Central Limit Theorem. This property holds as long as the samples are drawn randomly and the population size is much larger than the sample size.

The Mean of a Sampling Distribution Would Be Equal to the Mean