Standard error of the sample mean is calculated dividing the the sample estimate of population standard deviation ("sample standard deviation") by the square root of sample size.

Cross cultural issues in management?

A single observation cannot have a sample standard deviation.

The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.

The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.

The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.

The standard error should decrease as the sample size increases. For larger samples, the standard error is inversely proportional to the square root of the sample size.

If the population standard deviation is sigma, then the estimate for the sample standard error for a sample of size n, is s = sigma*sqrt[n/(n-1)]