Variance(Geometric)

Last modified by

on

Jul 24, 2020, 6:28:07 PM

Created by

on

May 23, 2014, 4:18:55 PM

Var(X) = \frac{1 - p}{p^{2}}

$"Var(X)" = (1- p )/p^2$

Success Rate

$"Success Rate"$

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f0018b70-e295-11e3-b7aa-bc764e2038f2

The variance of a set of numbers is the measure of how spread out they are. A variance of zero indicates that there is no variance which means all of the values are the same. Variance can never be represented with a negative number. The higher the variance the more spread out the values in the data set are.

Variables:

$p$ $p$ = Success Rate
$q$ $q$ = Failure Rate (Calculated as 1- $p$ $p$ )
Equation:
$\frac{1 - p}{p^{2}}$ $(1-p)/p^2$

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