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 585: 2

Answer

$\mu=5$ $Var(X)=\frac{25}{3}$ $\sigma=\frac{5\sqrt 3}{3}$

Work Step by Step

We are given $f(x)=\frac{1}{10}; [0;10]$ The expected value $\mu=\int^{10}_{0}xf(x)dx$ $=\int^{10}_{0}x(\frac{1}{10})dx$ $=\frac{1}{10}(\frac{x^{2}}{2})|^{10}_{0}$ $=\frac{1}{10}(50-0)=5$ The variance is $Var(X)=\int^{10}_{0}(x-5)^{2}f(x)dx$ $=\int^{10}_{0}(x^{2}-10x+25)\frac{1}{10}dx$ $=\frac{1}{10}\int^{10}_{0}(x^{2}-10x+25)dx$ $=\frac{1}{10}(\frac{x^{3}}{3}-5x^{2}+25x)|^{10}_{0}$ $=\frac{25}{3}$ The standard deviation of X is $\sigma=\sqrt Var(X)$ $=\sqrt \frac{25}{3}=\frac{5\sqrt 3}{3}$
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