Normal Distribution

Normal distribution:

$P(x)=\frac{1}{\sigma \sqrt{2\pi }}\ast e^{-\frac{(x-\mu {)}^2}{2{\sigma }^2}}$

$e={\sum }_{n=0}^{\infty }\frac{1}{n!}$

• Symmetric around the mean
• Peaks at the mean (the most probably value)

We can generate normal (Gaussian) distributions in Python by using random.gauss(mean, std).