An Introduction to Mathematical Statistics and Its Applications (6th Edition)

Published by Pearson
ISBN 10: 0-13411-421-3
ISBN 13: 978-0-13411-421-7

Chapter 3 Random Variables - 3.5 Expected Values - Questions - Page 147: 9

Answer

$\color{blue}{\frac{9}{4} = 2.25\ \text{years}}$

Work Step by Step

$\begin{align*} E(Y) &= \int_\mathbb{R} y\cdot f_Y(y)\ dy \\ &= \int_{-\infty}^\infty y\cdot f_Y(y)\ dy \\ &= \int_0^3 y\cdot\left(\frac{1}{9}y^2\right)\ dy \qquad \text{since}\ f_Y(y)= \frac{1}{9}y^2,\ 0\le y\le 3 \\ &= \frac{1}{9}\int_0^3 y^3\ dy \\ &= \frac{1}{3^2}\left[ \frac{y^4}{4}\ \right\vert_0^3 \\ &= \frac{1}{(3^2)(4)}\left( 3^4 - 0^4\right) \\ &= \frac{3^4}{(3^2)(4)} \\ \color{blue}{E(Y)}\ &\color{blue}{= \frac{9}{4}} \end{align*}$ The average time that such a patient spends in remission is about $\color{blue}{\dfrac{9}{4} = 2.25\ \rm years}$.
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