If the sample size is equal to the population variance (n = ²),then the standard error is equal to 1.

Question

Quizplus · Accepted Answer

The standard error is defined as the standard deviation of the sampling distribution of the sample mean. The variance of the sampling distribution of the sample mean is equal to the population variance divided by the sample size. Therefore, if the sample size is equal to the population variance, then the variance of the sampling distribution of the sample mean is equal to 1, and the standard error is equal to 1.

If the Sample Size Is Equal to the Population Variance