Central Limit Theorem

The central limit theorem states that the mean of a sample of \(n\) observations of a random variable having a distribution with well defined (i.e. finite) mean, \(\mu\), and standard deviation, \(\sigma\), tends to the normal distribution \(N\left(\mu, \frac{\sigma}{\sqrt{n}}\right)\) as \(n\) tends to infinity.