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Hyper Geometric

In: Statistical Distributions

Author

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  • Nick T. Thomopoulos

    (Illinois Institute of Technology, Stuart School of Business)

Abstract

The hyper geometric distribution applies when a population of size N has D marked items, and a sample of n items taken without replacement yields x marked items. This differs from the binomial distribution where the population size is infinite and the samples are taken with replacement. The hyper geometric applies often in quality applications when a lot of N items with D defectives (quantity unknown) and a sample of n without replacement is taken. The sample result of x defectives allow the management to gauge the quality of the lot.

Suggested Citation

  • Nick T. Thomopoulos, 2017. "Hyper Geometric," Springer Books, in: Statistical Distributions, chapter 0, pages 149-152, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-65112-5_18
    DOI: 10.1007/978-3-319-65112-5_18
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