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 - 3.6 The Variance - Questions - Page 158: 15

Answer

$\color{blue}{\sigma_C \approx 8.72^{\circ}\text{C}}$

Work Step by Step

For any given temperature $Y$ in the Fahrenheit scale, let $\quad C = \frac{5}{9}(Y-32) = \frac{5}{9}Y- \frac{160}{9}$ be the equivalent temperature in the Celsius scale. We are given that $\quad \sigma_Y = 15.7^\circ\text{F}$. Since $\text{Var}(Y) = \sigma_Y^2 = (15.7^\circ\text{F})^2$ is finite, then $\mu$ exists (as $\text{Var}(Y) = E(Y^2) - \mu_Y^2$ by Theorem 3.6.1, p. 155) so that we can use Theorem 3.6.2 with $a = \frac{5}{9}$ and $b = -\frac{160}{9}$ to get $\begin{align*} \text{Var}\left(C\right) &= \text{Var}\left(\left(\frac{5}{9}Y + \left(-\frac{160}{9}\right) \right)\cdot \left(\frac{^\circ\text{C}}{^\circ\text{F}}\right)\right) \\ &= \left(\frac{5}{9} \cdot \left(\frac{^\circ\text{C}}{^\circ\text{F}}\right)\right)^2\cdot\text{Var}(Y) \qquad [\ \text{Theorem 3.6.2}\ ]\\ \text{Var}\left(C\right) &= \left(\frac{5}{9} \cdot \left(\frac{^\circ\text{C}}{^\circ\text{F}}\right)\right)^2\cdot (15.7^\circ\text{F})^2 \\ \sqrt{\text{Var}\left(C\right)} &= \frac{5}{9} \cdot (15.7^\circ\text{C}) \\ \color{blue}{\sigma_C}\ &\color{blue}{\approx 8.72^\circ\text{C}} \end{align*}$
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