In a study of the accuracy of fast food drive-through orders, Restaurant A had 263 accurate orders and 64 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 interval for the percentage of orders that are not accurate at Restaurant B: 0.176
In a study of the accuracy of fast food drive-through orders, Restaurant A had 263 accurate orders and 64 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 interval for the percentage of orders that are not accurate at Restaurant B: 0.176
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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Transcribed Image Text:In a study of the accuracy of fast food drive-through orders, Restaurant A had 263 accurate orders and 64 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 interval for the percentage of orders that are not accurate at Restaurant B: 0.176 <p< 0.259.
What do you conclude?
.....
a. Construct a 95% confidence interval. Express the percentages in decimal form.
|<p< (Round to three decimal places as needed.)
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- In a study of the accuracy of fast food drive-through orders, Restaurant A had 322 accurate orders and 74 that were not accurate. a. Construct a 90% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part (a) to this 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.174In a study of the accuracy of fast food drive-through orders, Restaurant A had 317 accurate orders and 58 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 interval for the percentage of orders that are not accurate at Restaurant B: 0.136
