Statistics: Informed Decisions Using Data (4th Edition)

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

Chapter 9 - Review - Review Exercises - Page 471: 12b

Answer

Confidence interval: $8.86\lt x ̅\lt11.94$ The mean number of e-mails sent in a day is between 8.86 and 11.94, with 95% confidence.

Work Step by Step

$level~of~confidence=(1-α).100$% $90$% $=(1-α).100$% $0.9=1-α$ $α=0.1$ Since 928 respondents is a large sample size, we can use the approximation $t_{\frac{α}{2}}\approx z_{\frac{α}{2}}$ $z_{\frac{α}{2}}=z_{0.05}$ 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: $\frac{1.64+1.65}{2}=1.645$ $t_{0.05}\approx z_{0.05}=1.645$ $n=928$ $Lower~bound=x ̅-t_{\frac{α}{2}}.\frac{s}{\sqrt n}=10.4-1.645\times\frac{28.5}{\sqrt {928}}=8.86$ $Upper~bound=x ̅+t_{\frac{α}{2}}.\frac{s}{\sqrt n}=10.4+1.645\times\frac{28.5}{\sqrt {928}}=11.94$
Update this answer!

You can help us out by revising, improving and updating this answer.

Update this answer

After you claim an answer you’ll have 24 hours to send in a draft. An editor will review the submission and either publish your submission or provide feedback.