In a study of the accuracy of fast food drive-through orders, Restaurant A had 337 accurate orders and 65 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: 0.149
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 288 a a. Construct a…
A: A restaurant A had 288 accurate orders; n=288 61 were not accurate; x=61 α=0.05
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 348 accurate orders…
A: Given information: There are 348 accurate orders and 69 that were not accurate. Total number of…
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Q: a. Construct a 95% confidence interval. Express the percentages in decimal form. O<p<O (Round to…
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Q: study of the accuracy a. Construct a 90% confidence interval estimate of the percentage of orders…
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Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 306 accurate orders…
A: Sample size = n =306+73 = 379 Sample number of events = x = 73 Sample proportion = p̂ = x/n =…
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A: Solution : For restaurant A : 329 accurate orders and 60 not accurate. n = 329 +60 = 389 x = 60…
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Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 274 accurate orders…
A: Given Information: Proportion of not accurate orders (p) = 6565+274 = 0.1917 Sample size (n) = 339…
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A: Given In a study of the accuracy of fast food drive-through orders, Restaurant A had 207 accurate…
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Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 205 accurate orders…
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Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 220 accurate orders…
A: (a)given that,possible chances (x)=52size(n)=220success rate ( p )= x/n = 0.2364
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A: From the provided information, Sample size (n) = 246 + 64 = 310 From which 64 orders are inaccurate.…
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Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 284 accurate orders…
A: a. The sample proportion of orders that are not accurate is, p^=xn=62284+62=62346=0.1792 Computation…
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- 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: 0.185In 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: 0.142In 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: 0.181In a study of the accuracy of fast food drive-through orders, Restaurant A had 342 accurate orders and 74 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: 0.165In 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: 0.209In a study of the accuracy of fast food drive-through orders, Restaurant A had 249 accurate orders and 59 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: 0.169In 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 designed to determine whether there was a cluster of brain cancer cases at a Pratt & Whitney plant, record from 223,000 employees were studied and 723 employees with brain tumors were found. Treat those employees as a random sample and construct a 95% confidence interval estimate of the proportion of all adults who develop such tumors. write a brief statement interpreting that confidence interval.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.SEE MORE QUESTIONSRecommended textbooks for youA First Course in Probability (10th Edition)ProbabilityISBN:9780134753119Author:Sheldon RossPublisher:PEARSONA First Course in Probability (10th Edition)ProbabilityISBN:9780134753119Author:Sheldon RossPublisher:PEARSON