In a study of the accuracy of fast food drive-through orders, Restaurant A had 262 accurate orders and 51 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: 0.146 < p<0.216. What do you conclude? a. Construct a 90% confidence interval. Express the percentages in decimal form. |
In a study of the accuracy of fast food drive-through orders, Restaurant A had 262 accurate orders and 51 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: 0.146 < p<0.216. What do you conclude? a. Construct a 90% confidence interval. Express the percentages in decimal form. |
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 262 accurate orders and 51 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: 0.146 < p<0.216. What do you
conclude?
a. Construct a 90% confidence interval. Express the percentages in decimal form.
| <p< (Round to three decimal places as needed.)
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b. Choose the correct answer below.
O A. Since the two confidence intervals overlap, neither restaurant appears to have a significantly different 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. 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.
Cliolk t
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