In a study of the accuracy of fast food drive-through orders, Restaurant A 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 < p < 0.233. What do you conclude?
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 292 accurate orders…
A: Given that
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 337 accurate orders…
A: (a) Obtain the 90% confidence interval estimate of the percentage of orders that are not accurate.…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 224 accurate orders…
A:
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 304 accurate orders…
A: a.
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 221 accurate orders…
A:
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 241 accurate orders…
A: We have to find given confidence interval......
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 254 accurate orders…
A: The CI for the true mean population is, p^±Zp^(1-p^)nwhere p^=sample proportion n=sample…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 243 accurate orders…
A:
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 330 accurate orders…
A:
Q: A genetic experiment with peas resulted in one sample of offspring that consisted of 449 green peas…
A: Note- Since both are different questions, so according to our policy we can answer only one…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 214 accurate orders…
A:
Q: 38 accurate orders and 60 that were not accurate. a. Construct a 90 % confidence interval…
A: (a) Total orders = 238+60=298 The sample proportion is computed as follows, The corresponding…
Q: a. Construct a 95% confidence interval. Express the percentages in decimal form. O<p<O (Round to…
A: a. The sample proportion is, p^=xn=72248=0.2903 The sample proportion is 0.2903. Computation of…
Q: study of the accuracy a. Construct a 90% confidence interval estimate of the percentage of orders…
A: Find z-critical value:…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 268 accurate orders…
A: Given data: Restaurant A: Number of accurate orders = 268 Number of orders that are not accurate =…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 239 accurate orders…
A:
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 =…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 233 accurate orders…
A: Given: x=71n=233+71=304
Q: a study of the accuracy of fast food drive-through orders, Rest Construct a 90% confidence interval…
A: Solution : For restaurant A : 329 accurate orders and 60 not accurate. n = 329 +60 = 389 x = 60…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 332 accurate orders…
A: Sample size = n = 332+71 = 403 Sample number of events = x = 71 Sample proportion = p̂ = x/n =…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 341 accurate orders…
A:
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 317 accurate orders…
A:
Q: study of the accuracy of fast food drive-through orders, Restaurant A had 310 accurate orders and…
A: From the given information we find the solution.
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 211 accurate orders…
A:
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 222 accurate orders…
A: In a study of the accuracy of fast food drive-through orders, Restaurant A had 222 accurate orders…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 226 accurate orders…
A: a. Restaurant A has 226 accurate orders and 59 that are not accurate. Total number of orders…
Q: not accu b. Compare the results from part (a) to this 95% confidence interval for the percentage of…
A: Given In a study of the accuracy of fast food drive-through orders, Restaurant A had 207 accurate…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 294 accurate orders…
A:
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 347 accurate orders…
A:
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 216 accurate orders…
A:
Q: A genetic experiment with peas resulted in one sample of offspring that consisted of 412 green peas…
A: a) The 95% confidence interval to estimate the percentage of yellow peas is (23%, 31%) and it is…
Q: A genetic experiment with peas resulted in one sample of offspring that consisted of 416 green peas…
A: Note: We'll answer the first question, since the exact one wasn't specified. Please submit a new…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 270 accurate orders…
A:
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 245 accurate orders…
A: Given information Total accurate orders = 245 Total inaccurate orders (x) = 67 Total orders n = 67 +…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 205 accurate orders…
A: See the handwritten solution
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 210 accurate orders…
A: State the given values, n=210 x= 63 z at 95% confidence level = 1.96 Find the sample proportion:
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
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 246 accurate orders…
A: From the provided information, Sample size (n) = 246 + 64 = 310 From which 64 orders are inaccurate.…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 322 accurate orders…
A: Here from the given information Restaurant A had 322 accurate and 74 inaccurate orders.
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 317 accurate orders…
A:
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- In a study of the accuracy of fast food drive-through orders, Restaurant A had 284 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: 0.158In a study of the accuracy of fast food drive-through orders, Restaurant A had 290 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: 0.141In 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 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 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: 0.164In 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.SEE MORE QUESTIONSRecommended textbooks for youMATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th…StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C…StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage LearningElementary Statistics: Picturing the World (7th E…StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. 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