Hypergeometric Probability Distribution: Difference between revisions
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{{Learning concept | {{Learning concept | ||
|Description=A hypergeometric distribution has the following characteristics: | |||
There are only two possible outcomes. | |||
The probability of a success is not the same on each trial. | |||
The distribution results from a count of the number of successes in a fixed number of trials. | |||
It is used when sampling without replacement from a finite population. | |||
|Wikipedia reference=http://en.wikipedia.org/wiki/Hypergeometric_distribution | |Wikipedia reference=http://en.wikipedia.org/wiki/Hypergeometric_distribution | ||
}} | }} | ||
Latest revision as of 18:26, 23 January 2014
Description
A hypergeometric distribution has the following characteristics:
There are only two possible outcomes.
The probability of a success is not the same on each trial.
The distribution results from a count of the number of successes in a fixed number of trials.
It is used when sampling without replacement from a finite population.
Concept Prerequisite
Wikipedia Reference
http://en.wikipedia.org/wiki/Hypergeometric distribution