Elementary Statistics: A Step-by-Step Approach with Formula Card 9th Edition

Published by McGraw-Hill Education
ISBN 10: 0078136334
ISBN 13: 978-0-07813-633-7

Chapter 5 - Discrete Probability Distributions - 5-2 Mean, Variance, Standard Deviation, and Expectation - Extending the Concepts - Page 273: 22

Answer

See prove below.

Work Step by Step

Rewrite the formula in the problem as (take $\mu$ out of the summation as it is a constant) $\sigma^2=\sum[(X-\mu)^2\cdot P(X)]=\sum[(X^2-2\mu X+u^2)\cdot P(X)] =\sum X^2P(X)-2\mu\sum XP(X)+\mu^2\sum P(X)$ As $\sum XP(X)=\mu$ and $\sum P(X)=1$, The above becomes $\sum X^2P(X)-2\mu^2+\mu^2=\sum X^2\cdot P(X)-\mu^2$ which is the same as the formula given on page 267 in this section. .
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