Binomial Probability Distribution: Difference between revisions
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(Created page with "{{Learning concept |Wikipedia reference=http://en.wikipedia.org/wiki/Binomial_Probability_Distribution }}") |
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{{Learning concept | {{Learning concept | ||
|Description=A binomial distribution has the following characteristics: | |||
Each outcome is classified into one or two mutually exclusive categories. | |||
The distribution results from a count of the number of successes in a fixed number of trials. | |||
The probability of a success remains the same from trial to trial. | |||
Each trial is independent. | |||
|Wikipedia reference=http://en.wikipedia.org/wiki/Binomial_Probability_Distribution | |Wikipedia reference=http://en.wikipedia.org/wiki/Binomial_Probability_Distribution | ||
}} | }} | ||
Latest revision as of 18:23, 23 January 2014
Description
A binomial distribution has the following characteristics:
Each outcome is classified into one or two mutually exclusive categories.
The distribution results from a count of the number of successes in a fixed number of trials.
The probability of a success remains the same from trial to trial.
Each trial is independent.
Concept Prerequisite
Wikipedia Reference
http://en.wikipedia.org/wiki/Binomial Probability Distribution
Learning Material
Covered in Topic(s)
| Random Variables and Probability Distributions (Discrete and Continuous) |