If the sample size is equal to the population standard deviation (n = $\sigma$), then the standard error for the sample mean is equal to 1.00.

Question

Quizplus · Accepted Answer

The standard error of the sample mean is calculated as the population standard deviation divided by the square root of the sample size ($\sigma/\sqrt{n}$). If $n = \sigma$, the standard error would be $\sigma/\sqrt{\sigma}$, not 1.00.

If the Sample Size Is Equal to the Population Standard σ\sigmaσ

If the Sample Size Is Equal to the Population Standard $\sigma$