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
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.…
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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…
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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......
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Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 330 accurate orders…
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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…
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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…
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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 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…
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Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 317 accurate orders…
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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 274 accurate orders…
A: Given Information: Proportion of not accurate orders (p) = 6565+274 = 0.1917 Sample size (n) = 339…
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 226 accurate orders…
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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…
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Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 270 accurate orders…
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Q: In a study of the accuracy of fast food drive through orders, restaurant A had 207 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
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, 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: 0.171In 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 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