Statistics: Informed Decisions Using Data (4th Edition)

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

Chapter 9 - Section 9.4 - Assess Your Understanding - Applying the Concepts - Page 463: 13

Answer

Confidence interval: $0.496\lt p ̂\lt0.548$ We are 90% confident that the proportion of adults Americans who are worried about having enough money to live comfortably in retirement is between 0.496 and 0.548.

Work Step by Step

$p̂ =\frac{x}{n}=\frac{526}{1008}=0.522$ Required condition: $1008\times0.522(1-0.522)=1008\times0.522(1-0.522)=251.5\gt10$ $level~of~confidence=(1-α).100$% $90$% $=(1-α).100$% $0.9=1-α$ $α=0.1$ $z_{\frac{α}{2}}=z_{0.05}$ If the area of the standard normal curve to the right of $z_{0.05}$ is 0.05, then the area of the standard normal curve to the left of $z_{0.05}$ is $1−0.05=0.95$ According to Table V, there are 2 z-scores which give the closest value to 0.95: 1.64 and 1.65. So, let's find the mean of these z-scores: $\frac{1.64+1.65}{2}=1.645$ $Lower~bound=p ̂-z_{\frac{α}{2}}.\sqrt {\frac{p ̂(1-p ̂)}{n}}=0.522-1.645\times\sqrt {\frac{0.522(1-0.522)}{1008}}=0.496$ $Upper~bound=p ̂+z_{\frac{α}{2}}.\sqrt {\frac{p ̂(1-p ̂)}{n}}=0.522+1.645\times\sqrt {\frac{0.522(1-0.522)}{1008}}=0.548$
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