Statistics: Informed Decisions Using Data (4th Edition)

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

Chapter 10 - Section 10.6 - Assess Your Understanding - Vocabulary and Skill Building - Page 520: 8c

Answer

$β=0.73315$ Power of the test: 0.26685

Work Step by Step

$z_{\frac{α}{2}}=z_{0.025}$ If the area of the standard normal curve to the right of $z_{0.025}$ is 0.025, then the area of the standard normal curve to the left of $z_{0.025}$ is $1−0.025=0.975$ According to Table V, the z-score which gives the closest value to 0.975 is 1.96. $p ̂_L=p_0-z_{\frac{α}{2}}.\sqrt {\frac{p_0(1-p_0)}{n}}$ $p ̂_L=0.25-1.96\sqrt {\frac{0.25(1-0.25)}{350}}=0.205$ $p ̂_U=p_0+z_{\frac{α}{2}}.\sqrt {\frac{p_0(1-p_0)}{n}}$ $p ̂_U=0.25+1.96\sqrt {\frac{0.25(1-0.25)}{350}}=0.295$ $β=P(Type~II~error)=P(0.205\lt p ̂\lt0.295~given~that~p=0.28)$ $β=P(\frac{0.205-0.28}{\sqrt {\frac{0.28(1-0.28)}{350}}}\lt z\lt\frac{0.295-0.28}{\sqrt {\frac{0.28(1-0.28)}{350}}})=P(-3.125\lt z\lt0.625)=\frac{0.7324+0.7357}{2}-\frac{0.0009+0.0009}{2}=0.73315$ Power of the test: $1-β=0.26685$
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