Question

Which measure Is the sarne as the standard error of the mean?

A. Standard devlation of the population
B. Standard devlation of the sample means
C. mean of the sarnple
D. mean of the population

Answer 1

Answer:

The answer is B.

Step-by-step explanation:

The standard error (SE) of a statistic (usually an estimate of a parameter) is the standard deviation of its sampling distribution.

Formula of the standard error of the means is standard deviation divided by square root of the sample size.

SE = δ/√n

This formula also gives the standard deviation of the sample means.

Answer 2

The answer is standard deviation of the sample (B).

For example, "The notation for standard error can be any one of SE, SEM (for standard error of measurement or mean)."