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<record version="9" id="520">
 <title>geometric random variable</title>
 <name>GeometricRandomVariable</name>
 <created>2001-10-26 03:42:16</created>
 <modified>2007-06-24 00:53:19</modified>
 <type>Definition</type>
 <creator id="2727" name="mathcam"/>
 <author id="2727" name="mathcam"/>
 <author id="23" name="Riemann"/>
 <classification>
	<category scheme="msc" code="60-00"/>
	<category scheme="msc" code="62-00"/>
 </classification>
 <synonyms>
	<synonym concept="geometric random variable" alias="geometric distribution"/>
 </synonyms>
 <preamble>\usepackage{amssymb}
\usepackage{amsmath}
\usepackage{amsfonts}
\usepackage{graphicx}
\usepackage{xypic}</preamble>
 <content>A \textbf{geometric random variable} with parameter $p\in(0,1]$ is one whose density distribution function is given by
\begin{equation*}
f_X(x) = p(1-p)^x,\qquad x=0,1,2,\dotsc
\end{equation*}

This is denoted by $X\sim Geo(p)$.

Notes:
\begin{enumerate}
\item A standard application of geometric random variables is where $X$ represents the number of failed Bernoulli trials before the first success.
\item The expected value of a geometric random variable is given by $E[X] = \frac{1-p}{p}$, and the variance by $Var[X] = \frac{1-p}{p^2}$
\item The moment generating function of a geometric random variable is given by $M_X(t) = \frac{p}{1 - (1-p)e^t}$.

\end{enumerate}</content>
</record>
