This paper focuses on the evaluation of the hypergeometric distribution when some or all of its parameters are large. The normal distribution is shown as a limiting distribution to the hypergeometric, and the conditions under which the approximation is good are specified. Also, the approximation of the normal distribution to the hypergeometric is compared with the Stirling’s formula evaluation of the hypergeometric distribution.
