Variance of Geometric Distribution/Proof 2

Proof
From Variance of Discrete Random Variable from PGF, we have:
 * $\operatorname{var} \left({X}\right) = \Pi''_X \left({1}\right) + \mu - \mu^2$

where $\mu = E \left({x}\right)$ is the expectation of $X$.

From the Probability Generating Function of Geometric Distribution, we have:
 * $\Pi_X \left({s}\right) = \dfrac q {1 - ps}$

where $q = 1 - p$.

From Expectation of Geometric Distribution, we have:
 * $\mu = \dfrac p q$

From Derivatives of PGF of Geometric Distribution, we have:
 * $\Pi''_X \left({s}\right) = \dfrac {2 q p^2} {\left({1 - ps}\right)^3}$

Putting $s = 1$ using the formula $\Pi''_X \left({1}\right) + \mu - \mu^2$:
 * $\operatorname{var} \left({X}\right) = \dfrac {2 q p^2} {\left({1-p}\right)^3} + \dfrac p q - \left({\dfrac p q}\right)^2$

and hence the result, after some algebra.