A sampling distribution of the mean can be described in terms of its.
A)shape
B)mean
C)standard deviation
D)all the above

Question

Quizplus · Accepted Answer

A sampling distribution of the mean can be fully described in terms of its shape, mean, and standard deviation. The shape is determined by the underlying population and sample size. The mean of the sampling distribution of the mean is equal to the population mean, while the standard deviation is equal to the population standard deviation divided by the square root of the sample size. Therefore, all three options are necessary to fully describe a sampling distribution of the mean.

A Sampling Distribution of the Mean Can Be Described in Terms