Data Science

plot of the standard normal distribution
Probability and Statistics

Understanding the Probability Density Function of the Normal Distribution

A random variable \(Z\)  is said to have the standard normal distribution, if its probability density function (pdf) is as follows:  \[\begin{equation}f_Z(z)=\frac{1}{\sqrt{2\pi}} * \exp(\frac{-z^2}{2}), \quad -\infty<z<\infty\end{equation} \tag{1}\label{eq:eq1} \] This formula seems hard to digest and remember. The goal of this post is to get familiar with it. We will do so by dissecting it thoroughly

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