Mathematics · Glossary

What is Normal distribution?

Definition 35.8 High School Mathematics · Chapter 35 — Continuous Random Variables

XX follows the standard normal distribution N(0,1)\mathcal N(0, 1) if its density on R\R is

φ(t)=12πet2/2\varphi(t) = \frac{1}{\sqrt{2\pi}}\,\eu^{-t^2/2}

(the bell curve). More generally, XN(μ,σ2)X \sim \mathcal N(\mu, \sigma^2) if XμσN(0,1)\dfrac{X - \mu}{\sigma} \sim \mathcal N(0,1); then E(X)=μ\E(X) = \mu and V(X)=σ2\V(X) = \sigma^2.

The normal density: about 68.3\% of the mass lies within  of the mean, 95.4\% within 2, 99.7\% within 3.
The normal density: about 68.3%68.3\% of the mass lies within σ\sigma of the mean, 95.4%95.4\% within 2σ2\sigma, 99.7%99.7\% within 3σ3\sigma.
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