The Central Limit Theorem relates the sample standard deviation s to the population standard deviation σX. As sample size n increases, the distribution of the sample mean X̅ approaches a normal distribution, with the mean equal to the population mean μX and the standard deviation equal to the population standard deviation σX divided by the square root of the sample size n.