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: 14

Answer

Confidence interval: $-0.090\lt p̂_1-p̂ _2\lt0.068$ We are 99% confident that $p̂_1-p̂ _2$ is between -0.090 and 0.068.

Work Step by Step

$p̂ _1=\frac{x_1}{n_1}=\frac{109}{475}=0.229$ and $p̂ _2=\frac{x_2}{n_2}=\frac{78}{325}=0.24$ Requirements: $n_1p̂ _1(1-p̂ _1)=475\times0.229(1-0.229)=83.87\geq10$ $n_2p̂ _2(1-p̂ _2)=325\times0.24(1-0.24)=59.28\geq10$ $level~of~confidence=(1-α).100$% $99$% $=(1-α).100$% $0.99=1-α$ $α=0.01$ $z_{\frac{α}{2}}=z_{0.005}$ If the area of the standard normal curve to the right of $z_{0.005}$ is 0.005, then the area of the standard normal curve to the left of $z_{0.005}$ is $1−0.005=0.995$ According to Table V, there are 2 z-scores which give the closest value to 0.995: 2.57 and 2.58. So, let's find the mean of these z-scores: $\frac{2.57+2.58}{2}=2.575$ $Lower~bound=(p̂_1-p̂ _2)-z_{\frac{α}{2}}\sqrt {\frac{p̂_1(1-p̂_1)}{n_1}+\frac{p̂ _2(1-p̂ _2)}{n_2}}=(0.229-0.24)-2.575\sqrt {\frac{0.229(1-0.229)}{475}+\frac{0.24(1-0.24)}{325}}=-0.090$ $Upper~bound=(p̂_1-p̂ _2)+z_{\frac{α}{2}}\sqrt {\frac{p̂_1(1-p̂_1)}{n_1}+\frac{p̂ _2(1-p̂ _2)}{n_2}}=(0.229-0.24)+2.575\sqrt {\frac{0.229(1-0.229)}{475}+\frac{0.24(1-0.24)}{325}}=0.068$
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