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**Answer**

## Normal Distribution Equation

The normal distribution is the most popular and commonly used probability distribution.

A continous random variable x is said to have a normal distribution if its pdf is given by;

$f\left(x\right)=\left\{\begin{array}{l}\frac{1}{\sqrt{2{\mathrm{\pi \delta}}^{2}}}{e}^{\frac{-1}{2{\delta}^{2}}{(x-\mu )}^{2}\stackrel{-\infty x\infty}{-\infty \mu \infty ,\delta 0}}\\ 0,elsewhere\end{array}\right.$

We use the notation;

$x~N(\mu ,{\delta}^{2})$

The normal distribution depends on **two unknown parameters.**

$f\left(x\right)=ProbabilityDenistyfunction$

$\delta -S\mathrm{tan}darddeviation$

$\mu -Mean$

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