In a study of the accuracy of fast food drive-through orders, Restaurant A had 317accurate orders and 72 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: 0.173
In a study of the accuracy of fast food drive-through orders, Restaurant A had 317accurate orders and 72 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: 0.173
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 317accurate orders and 72 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:
0.173<p<0.232.
What do you conclude?a. Construct a
90%
confidence interval. Express the percentages in decimal form.---<p<-------
(Round to three decimal places as needed.)Expert Solution
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- In a study of the accuracy of fast food drive-through orders, RestaurantA had 315 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: 0.164.85%, 3.77 of 9 pts 7.1.19-T Question Help ▼ In a study of the accuracy of fast food drive-through orders, Restaurant A had 248 accurate orders and 56 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: 0.171
