tudy of the accuracy of fast food drive-through orders, Restaurant A had 277 accurate orders and 57 that were not accurate. a. Construct a 95% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part (a) to this 95% confidence interv
tudy of the accuracy of fast food drive-through orders, Restaurant A had 277 accurate orders and 57 that were not accurate. a. Construct a 95% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part (a) to this 95% confidence interv
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
In a study of the accuracy of fast food drive-through orders, Restaurant A had
277
accurate orders and
57
that were not accurate.a. Construct a
interval estimate of the percentage of orders that are not accurate.
95%
confidence b. Compare the results from part (a) to this
95%
confidence interval for the percentage of orders that are not accurate at Restaurant B:
0.151<p<0.233.
What do you conclude?a. Construct a
95%
confidence interval. Express the percentages in decimal form.0.1300.130<p<0.2110.211
(Round to three decimal places as needed.)b. Choose the correct answer below.
No conclusion can be made because not enough information is given about the confidence interval for Restaurant B.
The lower confidence limit of the interval for Restaurant B is higher than the lower confidence limit of the interval for Restaurant A and the upper confidence limit of the interval for Restaurant B is also higher than the upper confidence limit of the interval for Restaurant A. Therefore, Restaurant B has a significantly higher percentage of orders that are not accurate.
Since the two confidence intervals overlap, neither restaurant appears to have a significantly different percentage of orders that are not accurate.
Since the upper confidence limit of the interval for Restaurant B is higher than both the lower and upper confidence limits of the interval for Restaurant A, this indicates that Restaurant B has a significantly higher percentage of orders that are not accurate.
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