The standard error of the mean is equal to
A) the sample variance divided by the sample size.
B) the sample standard deviation divided by the square root of the sample size.
C) the sample variance divided by the square root of the sample size.
D) twice the square root of the sample size.
E) twice the square root of the sample variance.

Question

Quizplus · Accepted Answer

The standard error of the mean (SEM) is a measure of the variability of the sample means that would be obtained from repeated samples of the same population. The formula for SEM is the sample standard deviation (s) divided by the square root of the sample size (n): SEM = s/√n. Therefore, the correct answer is B.

The Standard Error of the Mean Is Equal to