The normal distribution

Summary

• If \(X\) follows a normal distribution with \(E\left( X \right)=μ\) and \(Var\left( X \right)=σ^2\) we write

\[X ~ N(μ,σ^2)\]

• If \(X\) follows a normal distribution then any linear function of \(X\) will follow a normal distribution .