In a study of the accuracy of fast food drive-through orders, Restaurant A had 317 accurate orders and 64 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: 0.149
In a study of the accuracy of fast food drive-through orders, Restaurant A had 317 accurate orders and 64 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: 0.149
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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![In a study of the accuracy of fast food drive-through orders, Restaurant A had 317 accurate orders and 64 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: 0.149 < p < 0.219. What do you conclude?
a. Construct a 90% confidence interval. Express the percentages in decimal form.
<p<
(Round to three decimal places as needed.)
b. Choose the correct answer below.
O A. 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.
O B. 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.
O C. No conclusion can be made because not enough information is given about the confidence interval for Restaurant B.
O D. Since the two confidence intervals overlap, neither restaurant appears to have a significantly different percentage of orders that are not accurate.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F148aeaed-9d27-47af-9574-163d35f55f55%2F7d3fe045-1856-4237-b7c5-82904ede1fab%2F0c13xwa_processed.png&w=3840&q=75)
Transcribed Image Text:In a study of the accuracy of fast food drive-through orders, Restaurant A had 317 accurate orders and 64 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: 0.149 < p < 0.219. What do you conclude?
a. Construct a 90% confidence interval. Express the percentages in decimal form.
<p<
(Round to three decimal places as needed.)
b. Choose the correct answer below.
O A. 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.
O B. 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.
O C. No conclusion can be made because not enough information is given about the confidence interval for Restaurant B.
O D. Since the two confidence intervals overlap, neither restaurant appears to have a significantly different percentage of orders that are not accurate.
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