The variability of a sampling distribution is measured by the ____.
A)standard error of the mean
B)population variance
C)standard deviation estimate
D)sample variance estimate

Question

Quizplus · Accepted Answer

The standard error of the mean is a measure of variability of the sampling distribution of means. It gives an estimate of the amount of variation or dispersion of the sample means around the true population mean. Therefore, A is the best choice. Population variance and sample variance estimates measure the variability of the data in the population or sample, and the standard deviation estimate is related to the variability of the observations in a sample. However, they are not specific measures of the variability of the sampling distribution.

The Variability of a Sampling Distribution Is Measured by the ____