# binomial distribution

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Related to binomial distribution: Poisson distribution, normal distribution

## binomial distribution

[bī′nō·mē·əl ‚dis·trə′byü·shən]
(statistics)
The distribution of a binomial random variable; the distribution (n,p) is given by P (B = r) = (nr) prqn-r, p + q = 1. Also known as Bernoulli distribution.
References in periodicals archive ?
Sixth, one data set (Mixon) was satisfactorily fit by two distributions: the negative binomial distribution and the inflated geometric distribution.
Parameters R and k of the negative binomial distribution are the reproductive number and dispersion parameter, respectively.
The primary contribution herein centers on using the Generalized Binomial Distribution (GBD) to provide a new and important perspective about the luck versus skill mutual fund debate.
41) Applying these numbers to the binomial distribution equation given above indicates that the probability that Opitz obtained more votes than Wrzesnewskyj is 99.
The parameters a and b of the beta-binomial model can be chosen to provide flexibility to handle many possible situations in health services research that have this "probability" nature of constraining between 0 and 1, and are more diffuse than the over-dispersion capabilities of the negative binomial distribution (Morris and Lock 2009).
Although we noted previously that the decision from the comparison median confidence intervals does not exhibit the expected results, it is important to note that when there is no mean population differences, their performance is good, and in the scenario of mean population differences when working with large samples sizes (more than 30 subjects in each group), the decision based on the comparison of median confidence intervals from a binomial distribution, McKean and Schraeder estimation, Marizt and Jarret estimation and adaptive-kernel estimation have good power, if the decision criterion is non-strict.
On the basis of the analysis of the binomial distribution, it becomes clear that 181 cases marked the choices very much, much, or moderate.
For this reason, the negative binomial distribution (nbd) was deemed more appropriate than Poisson.
As an example of a discovered statistical distribution, let's consider the binomial distribution.

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