Normal distribution.
If X is random variable thenits normal distribution with parameters mean m and variance σ2 is given by
\[f(x)=(\frac{1}{\sqrt{2\pi σ^2}})e ^{\frac{(x-m)^2}{2σ^2}}\]
where m is mean of random variable and σ^2 is variance of the random variable .
This function is bell shaped curve and that is symmetric about m
Boundary condition x varies from -∞ to +∞.
For Normal distribution Mean=E[X]=m
and Variance =V[X]=σ^2
