Explain, in detail why the central limit theorem is the cornerstone of statistical estimation Solution The central limit theorem (CLT) is a fundamental result from statistics. It states that the sum of a large number of independent identically distributed (iid) random variables will tend to be distributed according to the normal distribution. A first version of the CLT was proved by the English mathematician Abraham de Moivre (1667.