'''Normal Random Variable'''
AKA '''Gaussian Random Variable''' (가우시안/가우스 확률변수)

$S_X=(-\infty,+\infty)$
$f_X(x)=\frac{e^{-\frac{(x-m)^2}{2\sigma^2}}}{\sqrt{2\pi}\sigma}=\frac{e^{-(x-m)^2/2\sigma^2}}{\sqrt{2\pi}\sigma}$
 $-\infty<x<\infty$ and $\sigma>0$

$E[X]=m$
$V[X]=\sigma^2$

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Source: Leon-Garcia Table 4.1 (Continuous RVs)
Up: [[연속확률변수,continuous_RV]]