WOLFRAM|DEMONSTRATIONS PROJECT

Normal Approximation to a Binomial Random Variable

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parameter n
20
parameter p
0.5
compute agreement
A binomial random variable with parameters
n
and
p
can be thought of as a sum of independent Bernoulli random variables, each with parameter
p
. The central limit theorem implies that for large values of
n
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.