Statistics: Informed Decisions Using Data (4th Edition)

Published by Pearson
ISBN 10: 0321757270
ISBN 13: 978-0-32175-727-2

Chapter 11 - Section 11.2 - Assess Your Understanding - Applying the Concepts - Page 551: 9c

Answer

$t_0\lt -t_α$, we reject the null hypothesis. There is enough evidence to conclude that the repair cost for the car is higher than the repair cost for the SUV.

Work Step by Step

$d_i=(SUV~Damage)_i-(Car~Damage)_i$ $d_1=447$ $d_2=-893$ $d_3=-2373$ $d_4=271$ $d_5=-1680$ $d_6=-1916$ $d_7=-1676$ $d ̅=\frac{∑d_i}{n}=-1117.14$ $s_d=\sqrt {\frac{∑(d_i-d ̅)^2}{n-1}}=1100.62$ $H_0:~µ_d=0$ versus $H_1:~µ_d\lt0$ $t_0=\frac{d ̅ }{\frac{s_d}{\sqrt n}}=\frac{-1117.14}{\frac{1100.62}{\sqrt 7}}=-2.685$ $n=7$, so: $d.f.=n-1=6$ Left-tailed test: $t_α=t_{0.05}=1.943$ (According to Table VI, for d.f. = 6 and area in right tail = 0.05) So, $-t_α=-1.943$ Since $t_0\lt -t_α$, we reject the null hypothesis.
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