Normal Approximation to a Binomial Random Variable

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A binomial random variable with parameters and can be thought of as a sum of independent Bernoulli random variables, each with parameter . The central limit theorem implies that for large values of a binomial random variable can be well approximated by a normal random variable with the same mean and variance. A measure of agreement between the two is obtained by computing the purple area; 100% represents complete agreement between the two distributions. The computation of the purple area is slow, so use the sliders with the "compute agreement" box unchecked.

Contributed by: Chris Boucher (March 2011)
Open content licensed under CC BY-NC-SA


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