Calculus with Applications (10th Edition)

Published by Pearson
ISBN 10: 0321749006
ISBN 13: 978-0-32174-900-0

Chapter 11 - Probability and Calculus - 11.2 Expected Value and Variance of Continuous Random Variables - 11.2 Exercises - Page 586: 22

Answer

$\mu=\frac{10}{9}$ $Var(X)=\frac{110}{567}$ $\sigma = 0.44$

Work Step by Step

We are given $f(x)=\frac{20x^{4}}{9}$ if $0 \leq x \leq 1$ $f(x)=\frac{20}{9x^{5}}$ if $x\gt1$ $\mu=\int^{a}_{b}xf(x)dx$ $=\int^{1}_{0}(\frac{20}{9}x^{5})dx+\int^{\infty}_{1}\frac{20}{9x^{4}}$ $=\frac{20}{9}(\frac{x^{6}}{6})|^{1}_{0}+\frac{20}{9}(\frac{1}{-3}x^{-3})|^{\infty}_{1}$ $=\frac{10}{27}+\frac{20}{27}$ $=\frac{10}{9}$ $Var(X)=\int^{1}_{0}x^{2}(\frac{20}{9}x^{4})dx+\int^{\infty}_{1}(\frac{20}{9x^{3}})dx - (\frac{10}{9})^{2}$ $=\frac{20}{9}\int^{1}_{0}(x^{6})dx + \frac{20}{9}\int^{\infty}_{1}(\frac{1}{x^{3}})dx - \frac{100}{81}$ $=\frac{20}{9}(\frac{x^{7}}{7}|^{1}_{0} + \frac{1}{-2}x^{-2}|^{\infty}_{1}-\frac{5}{9})$ $=\frac{20}{9}(\frac{1}{7}+\frac{1}{2}-\frac{5}{9})$ $=\frac{110}{567}$ $\sigma = \sqrt Var(X)=\sqrt \frac{110}{567} = \frac{\sqrt 770}{63}\approx 0.44$
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