normal distribution

A normal distribution is a probability distribution which models the expected value of a large number of samples from a discrete random variable with finite mean and variance (see central limit theorem). A random variable which is normally distributed is denoted XN(μ,σ2), where μ is the mean and σ2 is the variance.

Formally,
the standard normal distribution of a random variable ZN(0,1) is given by the probability density function

φ(z)=12πez2/2

and the general normal distribution of a random variable XN(μ,σ2) is given by the probability density function

f(x;μ,σ2)=1σφ(xμσ)=12πσ2exp((xμ)22σ2)

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