A theorem that states that if a random variable Y has a population mean μ and a population variance σ2, then the sample mean, calculated from n observations, has an approximately normal distribution, with a population mean μ and a variance σ2/n, for any sufficiently large n. The central limit theorem has an important place in statistical theory.