In a study of the accuracy of fast food drive-through orders, Restaurant A had 347 accurate orders and 68 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: 0.146
In a study of the accuracy of fast food drive-through orders, Restaurant A had 347 accurate orders and 68 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: 0.146
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 347 accurate orders and 68 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: 0.146 <p<0.215. What do you
conclude?
a. Construct a 95% confidence interval. Express the percentages in decimal form.
<p< (Round to three decimal places as needed.)
b. Choose the correct answer below.
O A. 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 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.
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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