Applied Statistics and Probability for Engineers, 6th Edition

Published by Wiley
ISBN 10: 1118539710
ISBN 13: 978-1-11853-971-2

Chapter 3 - Section 3-4 - Mean and Variance of a Discrete Random Variable - Exercises - Page 77: 3-63

Answer

$μ=1.57$, $σ²=0.3111$

Work Step by Step

$\begin{aligned}μ= \mathbb{E}(X) &=0 \times 0.033+1 \times 0.364+2 \times 0.603=1.57\\ \mathbb{E}\left(X^{2}\right) &=0^{2} \times 0.033+1^{2} \times 0.364+2^{2} \times 0.603=2.776 \\σ²= \operatorname{Var}(X) &=\mathbb{E}\left(X^{2}\right)-\mathbb{E}(X)^{2}=0.3111 \end{aligned}$
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