The Excess Kurtosis of the Geometric distribution with parameter p is:
For a Geometric distribution with parameter \(p\) (counting failures before first success, support \(k=0,1,2,\ldots\)), the standard formula for excess kurtosis is:
\[\gamma_2 = \frac{p^2}{1-p} + 6\]
This is derived from the fourth central moment divided by the square of the variance, minus 3. Matching with the options, the answer is \(6 + \dfrac{p^2}{1-p}\).
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