In a study of the accuracy of fast food drive-through orders, Restaurant A had 322 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: 0.174
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 309 accurate orders…
A: Solution-: Given: For restaurant A: Number of orders are accurate =309 and Number of orders not…
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 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 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: 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 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 341 accurate orders…
A:
Q: The following are body mass index (BMI) scores measured in 12 patients who are free of diabetes and…
A: Sample mean and sample standard deviation: Sample mean and sample standard deviation are calculated…
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: 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…
A:
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 343 accurate orders…
A:
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 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 317 accurate orders…
A:
Q: In a study of the accuracy of fast food drive-through orders, Restaurant A had 315 accurate orders…
A: Given Information: Restaurant A had 315 accurate orders and 68 not accurate orders. Total number of…
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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? 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