One measure of the overall sampling error in the entire distribution of sample means is the
A) standard error of the mean
B) population mean
C) population median
D) sample's true amount of bias

Question

Quizplus · Accepted Answer

The standard error of the mean (SEM) is a measure of the variability of the sample means from different samples taken from the same population. It is calculated by dividing the standard deviation of the population by the square root of the sample size. The SEM provides an estimate of how well the sample means represent the population mean, and therefore, it is a measure of the overall sampling error in the entire distribution of sample means.

One Measure of the Overall Sampling Error in the Entire