In a study of the accuracy of fast food drive-through orders, Restaurant A had 297 accurate orders and 60 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: \(0.157 < p < 0.221\). What do you conclude?### a. Construct a 90% confidence interval. Express the percentages in decimal form.\[\text{< } p \text{ < }\](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.** No conclusion can be made because not enough information is given about the confidence interval for Restaurant B. - **O C.** 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 D.** Since the two confidence intervals overlap, neither restaurant appears to have a significantly different percentage of orders that are not accurate.---**Instructions:** Click to select your answer(s).

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Description: In a study of the accuracy of fast food drive-through orders, Restaurant A had 297 accurate orders and 60 that were not accurate.**a.** Construct a 90% confidence interval estimate of the percentage of orders that are not accurate.**b.** Compare the

Total orders = 297+60 = 357 Orders that are not accurate = 60 The sample proportion of the sample of size n can be defined as: p^=xn Here, x = Total number of success in the sample or the elements with specific characteristics n = Sample size or total number of elements Given: n = 357 x= 60 For this case, the sample proportion is, The value of z at a 90% confidence level is 1.645, which can be obtained by using the standard normal table. The 90% confidence interval is calculated as: (a) 0.136 < p< 0.201 (b) 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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E Question Help na study of the accuracy of fast food drive-through orders, Restaurant A had 297 accurate orders and 60 that were not accurate. a. Construct a 90% confidence interval estimate of the percentage of orders that are not accurate. p. Compare the results from part (a) to this 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.157

E Question Help na study of the accuracy of fast food drive-through orders, Restaurant A had 297 accurate orders and 60 that were not accurate. a. Construct a 90% confidence interval estimate of the percentage of orders that are not accurate. p. Compare the results from part (a) to this 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.157

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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