In a study of the accuracy of fast food drive-through orders, Restaurant A had 227 accurate orders and 70 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: 0.218

In a study of the accuracy of fast food drive-through orders, Restaurant A had 227 accurate orders and 70 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: 0.218

Name: 7.1.19-TIn a study of the accuracy of fast food drive-through orders,
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: 7.1.19-TIn a study of the accuracy of fast food drive-through orders, Restaurant A had 227 accurate orders and 70 that were not accurate.a. Construct a 90% confidence interval estimate of the percentage of orders that are not accurate.b. Compare the

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

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
In a study of the accuracy of fast food drive-through orders, Restaurant A had 334 accurate orders and 54 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: 0.127 < p < 0.187. 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 227 accurate orders and 58 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: 0.185
In a study of the accuracy of fast food drive-through orders, Restaurant A had 277 accurate orders and 57 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: 0.151<p<0.233. What do you conclude? a. Construct a 95% confidence interval. Express the percentages in decimal form. 0.1300.130<p<0.2110.211 (Round to three decimal places as needed.) b. Choose the correct answer below. A. No conclusion can be made because not enough information is given about the confidence interval for Restaurant B. 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…
In a study of the accuracy of fast food drive-through orders, Restaurant A had 310 accurate orders and 62 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: 0.142
In a study of the accuracy of fast food drive-through orders, Restaurant A had 245 accurate orders and 52 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: 0.153 < p< 0.236. What do you conclude? a. Construct a 95% confidence interval. Express the percentages in decimal form.
In a study of the accuracy of fast food drive-through orders, Restaurant A had 275 accurate orders and 72 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: 0.181
In a study of the accuracy of fast food drive-through orders, Restaurant A had 231 accurate orders and 73 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: 0.209
In a study of the accuracy of fast food drive-through orders, Restaurant A had 232 accurate orders and 53 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
In a study of the accuracy of fast food drive-through orders, Restaurant A had 233 accurate orders and 66 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: 0.207 < p < 0.283. 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 314 accurate orders and 67 that were not accurate. a. Construct a 90% confidence interval estimate of the percentage of orders that are not accurate. Express the percentages in decimal form. b. Compare the results from part (a) to this 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.156<p<0.222. What do you conclude? Choose the correct answer below.
In a study of the accuracy of fast food drive-through orders, Restaurant A had 334 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: 0.124