The standard deviation of (standard error of the sample mean) equals the population standard deviation divided by the square root of the sample size, or, se( ) = equivalently.

Question

The standard deviation of  (standard error of the sample mean) equals the population standard deviation divided by the square root of the sample size, or, se(  ) =  equivalently.

Quizplus · Accepted Answer

This statement is true and is a fundamental concept in statistics. The standard error is calculated by dividing the population standard deviation by the square root of the sample size. Therefore, the standard error is an estimate of how much the sample mean is likely to differ from the true population mean.

The Standard Deviation of (Standard Error of the Sample