Normal Distribution Function
The normal distribution derives its importance from
the Central Limit Theorem. If X1,...,Xn is a sample
from a distribution with mean, μ, and variance, σ2,
then for large n, the sample mean has approximately a
normal distribution with mean μ and variance σ2/n.
For example, normal(2,0,1)=.97725
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