The standard error of the mean equals the:
A)standard deviation divided by the square root of the sample size.
B)mean times the square root of the sample size.
C)standard deviation times the square root of the sample size.
D)standard deviation minus the sample size.
E)mean divided by the square root of the sample size.

Question

Quizplus · Accepted Answer

The standard error of the mean (SEM) is the standard deviation of the sampling distribution of the mean. It is calculated as the standard deviation of the sample (which measures the variability within the sample) divided by the square root of the sample size (which reflects the precision of the sample mean estimate). Therefore, choice A is the correct answer.

The Standard Error of the Mean Equals The