Hyper Geometric

Nick T. Thomopoulos
Additional contact information
Nick T. Thomopoulos: Illinois Institute of Technology, Stuart School of Business

Chapter Chapter 18 in Statistical Distributions, 2017, pp 149-152 from Springer

Abstract: 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.

Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-65112-5_18

Ordering information: This item can be ordered from
http://www.springer.com/9783319651125

DOI: 10.1007/978-3-319-65112-5_18

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().