Variance of Gaussian Distribution

Theorem
Let $X \sim N \left({\mu, \sigma^2}\right)$ for some $\mu \in \R, \sigma \in \R_{> 0}$, where $N$ is the Gaussian distribution.

Then:


 * $\operatorname{var} \left({X}\right) = \sigma^2$