Binomial distribution: Difference between revisions
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''Statistics.'' | ''Statistics.'' | ||
A discrete probability distribution | A discrete probability distribution built up from a series of binomial trials. | ||
The binomial distribution can be a useful model for processes where: | |||
#The process consists of a whole number of identical trials or situations (n). | |||
#Each trial results in just one of only two possible outcomes (eg success or failure). | |||
#The probability of success (p) remains constant for each trial. | |||
#The trials are independent and | |||
#Primary interest lies in the probability of a specified number of successes (or of failures) in the n trials. | |||
== See also == | == See also == | ||
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* [[Discrete random variable]] | * [[Discrete random variable]] | ||
* [[Frequency distribution]] | * [[Frequency distribution]] | ||
* [[Poisson distribution]] | |||
Revision as of 13:48, 5 August 2014
Statistics.
A discrete probability distribution built up from a series of binomial trials.
The binomial distribution can be a useful model for processes where:
- The process consists of a whole number of identical trials or situations (n).
- Each trial results in just one of only two possible outcomes (eg success or failure).
- The probability of success (p) remains constant for each trial.
- The trials are independent and
- Primary interest lies in the probability of a specified number of successes (or of failures) in the n trials.
