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What is it: Negative Binomial Distribution models the number of failures x before a specified number of successes is reached in a series of independent, identical trials. Its parameters are the probability of success in a single trial, p, and the number of successes, r. The negative binomial distribution is more general than the Poisson distribution because it has a variance that is greater than its mean, making it suitable for count data that do not meet the assumptions of the Poisson distribution. In the limit, as r increases to infinity, the negative binomial distribution approaches the Poisson distribution.

Why use it: Negative Binomial Distribution is more general than the Poisson distribution, and is often suitable for count data when the Poisson distribution is not.


  Name
Format
Preview (Click to enlarge)
  Negative Binomial Distribution Template
Microsoft Excel Format
Microsoft Excel
Format
Negative Binomial Distribution Template
  Negative Binomial Distribution Completed Example
Microsoft Excel Format
Microsoft Excel
Format
Negative Binomial Distribution Completed Example
USD $9.95
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