The standard deviation of a distribution of means is:
A)figured by subtracting the variance from the sample mean and then taking the square root
B)the square root of the variance of the distribution of means
C)the population variance divided by the number of individuals in each sample
D)the same as the square root of the sample variance

Question

Quizplus · Accepted Answer

The standard deviation of a distribution of means is the square root of the variance of the distribution of means. This is because the variance of the distribution of means is a measure of how much the means in the distribution vary from the overall mean, and taking the square root of the variance gives the same unit of measurement as the means themselves.

The Standard Deviation of a Distribution of Means Is