A random variable Y obeys a normal distribution
\(P(Y)=\frac{1}{\sigma \sqrt{2 \pi}} \exp \left[-\frac{(Y-\mu)^2}{2 \sigma^2}\right]\)
The mean value of eY is
1
\(e^{\mu+\frac{\sigma^2}{2}}\)
2
\(e^{\mu-\sigma^2}\)
3
\(e^{\mu+\sigma^2}\)
4
\(e^{\mu-\frac{\sigma^2}{2}}\)