I = $\frac{1}{\sqrt{2\Pi }}\int_{0}^{\infty }e^{\frac{-x^{2}}{8}}dx$ ,
rewriting integral
I = $\int_{0}^{\infty }\frac{1}{\sqrt{2\Pi }}e^{-\frac{1}{2}(\frac{x}{2})^{2}}dx$ ,
let $\frac{x}{2} = t \Rightarrow dx = 2 dt$,
I = $2\int_{0}^{\infty }\frac{1}{\sqrt{2\Pi }}e^{-\frac{1}{2}(t)^{2}}dt$
$\int_{0}^{\infty }\frac{1}{\sqrt{2\Pi }}e^{-\frac{1}{2}(t)^{2}}dt$ is Standard Normal distribution
So,
I = $2\int_{0}^{\infty }\frac{1}{\sqrt{2\Pi }}e^{-\frac{1}{2}(t)^{2}}dt$
= $2*\frac{1}{2}$ = 1
Standard Normal Distribution is normal distribution with $\mu = 0$ and $\sigma = 1$
We know that standard normal graph is symmetrical and area under graph is $1$
reference