My approach is to derive the moment generating function for $X\sim N(0,1)$ so that its $n$th derivative at $t=0$ will be the moment of $X\sim N(0,1).$
However, after finding $$M_X(t)=e^{\frac{t^2}{2}}$$
I am struggled to express the function in MacLauren Series ... which means I am unable to derive the $n$th moment from this approach...
Could someone please shows me how to expand this moment generating function into a MacLauren Series?
Many thanks!
Also, I would also appreciate if someone could show me other methds in finding the solution.
\begin{align} M_X(t) & = e^{t^2/2} = e^u = \sum_{k=0}^\infty \frac{u^k}{k!} = \sum_{k=0}^\infty \frac{(t^2/2)^k}{k!} = \sum_{k=0}^\infty \frac{t^{2k}}{2^k k!} \\[10pt] M_X^{(2m)}(0) & = \frac{d^{2m}}{dt^{2m}} \,\frac{t^{2m}}{2^m m!} = \frac{2m(2m-1)(2m-2) \cdots 1}{2^m m!} \\[12pt] & = (2m-1)(2m-3)(2m-5)\cdots 1. \\[12pt] \text{So } M_X^{(n)}(t) & = (n-1)(n-3)(n-5)\cdots 1 \text{ if $n$ is even.} \end{align}