The standard error is:
A) the standard deviation of the sampling distribution.
B) the squared value of the population variance.
C) the same value as the population standard deviation.
D) is the same for distributions of all sample sizes.
E) is the mean of the sampling distribution

Question

Quizplus · Accepted Answer

The standard error is the standard deviation of the sampling distribution, which is the distribution of sample means. It is a measure of the variability of the sample means, and is affected by both the size of the sample and the variability of the population. It is different from the population standard deviation, and its value depends on the sample size.

The Standard Error Is