The standard deviation of a distribution of means is
A)figured by subtracting the variance from the sample mean and taking the square root.
B)the square root of the variance of the distribution of means.
C)the population variance divided by the N 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 tells us the spread of the data, and since we are interested in the spread of the means, we need to take the square root of the variance to get the standard deviation.

The Standard Deviation of a Distribution of Means Is