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The Hypergeometric Distribution

EXAMPLE:\ Assume we are playing a card game with a regular deck of 52 cards, where 16 of these are ``face cards'' and each ``hand'' consists of 10 randomly selected cards. Using combinations, find the probability of getting 4 face cards in a hand of 10 cards. We know there are tex2html_wrap_inline3387 possible ``hands'' and tex2html_wrap_inline3389 possible hands with 4 face cards, therefore

displaymath3391

The distribution we derived above is called the hypergeometric distribution. If we can define objects as success/failure, and we have N total items (N=52 cards), with M successes in the population (M=16 face cards) and n items chosen (n=10 cards per hand), then

displaymath3405

For our previous example,

displaymath3407

For the hypergeometric distribution,

eqnarray844

If we let tex2html_wrap_inline3409 , then

eqnarray856

Note that except for tex2html_wrap_inline3411 , this is the same as the mean and the variance for the binomial distribution. C is called the finite population correction.



Jan Lethen
Wed Nov 13 16:20:46 CST 1996