M.G.F of distribution

Table (Discrete Distribution)
$\begin{array}{cc} \hline \mbox{Distribution }&\mbox{ M.G.F } M(t) \\ \\ \hline ... ... 1& \displaystyle\left [\frac{pe^t}{1-(1-p)e^t}\right ]^r \\ \hline \end{array}$

Table (Continuous Distribution)
$\begin{array}{cc} \hline \mbox{Distribution }&\mbox{ M.G.F } M(t) \\ \\ \hline ... ...xp\left\{\displaystyle\mu t+\frac{\sigma^2t^2}{2}\right\} \\ \hline \end{array}$