Statistics: Informed Decisions Using Data (4th Edition)

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

Chapter 11 - Section 11.1 - Assess Your Understanding - Skill Building - Page 540: 15

Answer

Confidence interval: $-0.063\lt p̂_1-p̂ _2\lt0.044$ We are 95% confident that $p̂_1-p̂ _2$ is between -0.063 and 0.044.

Work Step by Step

$p̂ _1=\frac{x_1}{n_1}=\frac{28}{254}=0.1102$ and $p̂ _2=\frac{x_2}{n_2}=\frac{36}{301}=0.1196$ Requirements: $n_1p̂ _1(1-p̂ _1)=254\times0.1102(1-0.1102)=24.91\geq10$ $n_2p̂ _2(1-p̂ _2)=301\times0.1196(1-0.1196)=31.69\geq10$ $level~of~confidence=(1-α).100$% $95$% $=(1-α).100$% $0.95=1-α$ $α=0.05$ $z_{\frac{α}{2}}=z_{0.025}$ 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. $Lower~bound=(p̂_1-p̂ _2)-z_{\frac{α}{2}}\sqrt {\frac{p̂_1(1-p̂_1)}{n_1}+\frac{p̂ _2(1-p̂ _2)}{n_2}}=(0.1102-0.1196)-1.96\sqrt {\frac{0.1102(1-0.1102)}{254}+\frac{0.1196(1-0.1196)}{301}}=-0.063$ $Upper~bound=(p̂_1-p̂ _2)+z_{\frac{α}{2}}\sqrt {\frac{p̂_1(1-p̂_1)}{n_1}+\frac{p̂ _2(1-p̂ _2)}{n_2}}=(0.1102-0.1196)+1.96\sqrt {\frac{0.1102(1-0.1102)}{254}+\frac{0.1196(1-0.1196)}{301}}=0.044$
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