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: 12

Answer

a) 3.2; b) 5.76; c) 2.4; d) 0.451; e) 0.573.

Work Step by Step

We are given $f(x)=\frac{x^{-1/3}}{6}, [0,8]$ a) The expected value is $\mu=\int^8_0 x(\frac{x^{-1/3}}{6})dx$ $=\int^8_0 \frac{x^{2/3}}{6}dx$ $=\frac{1}{10}x^{5/3}|^8_0 $ $=\frac{16}{5} = 3.2$ b) The variance is $V=\int^8_0 x^2(\frac{x^{-1/3}}{6})dx-\mu^2$ $=\int^8_0x^{5/3}dx-(\frac{16}{5})^2$ $=\frac{1}{16}x^{8/3}|^8_0-\frac{256}{25}$ $\approx 5.76$ c) The standard deviation is $\sigma=\sqrt V = 2.4$ d) The probability that the random variable has a value greater than the mean is $P(x \geq \mu) = P(x \geq 3.2)=\int^8_{3.2}\frac{x^{-1/3}}{6}dx$ $=\frac{1}{4}x^{2/3}|^8_{3.2} \approx 0.457$ e) $P(\mu - \sigma \leq x \leq \mu + \sigma)= P(0.8 \leq x \leq 5.6)$ $=\int^{5.6}_{0.8}\frac{x^{-1/3}}{6}dx$ $=\frac{1}{4}x^{2/3}|^{5.6}_{0.8} \approx 0.573$
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