Random Variables and Discrete Probability Distributions
Random Variables and Discrete Probability Distributions
Random Variables and Discrete Probability Distributions
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Expected Value for a<br />
<strong>Discrete</strong> <strong>R<strong>and</strong>om</strong> Variable<br />
• We can think of μX = E(X) as the<br />
average value of the r<strong>and</strong>om variable<br />
that we would expect to obtain if we<br />
perform the experiment repeatedly.<br />
�� Letting xk represent the outcome of<br />
the k th repetition of the experiment,<br />
[x 1 + x 2 + … + xk + … + xn]/n ]/n gets<br />
closer to μX = E(X) as the number of<br />
repetitions of the experiment, n,<br />
increases in value.