This article gives two concrete illustrations of the central limit theorem.

The central limit theorem may be applied to the distribution of the sample means.

In 1920 he published his first paper on the central limit theorem.

It is a special case of the central limit theorem.

The result is often used in combination with the uniform limit theorem.

To apply the central limit theorem, one must use a large enough sample.

Any other distribution is expected to give the same result, as a consequence of the central limit theorem.

In effect de Moivre proved a special case of the central limit theorem.

In the former case we have , which is related to the central limit theorem.

The best known and most important of these is known as the central limit theorem.