Question

In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 210 accurate...

In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 210 accurate orders and 67 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: 0.222 <p< 0.307. What do you conclude?

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 267 accurate...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 267 accurate orders and 72 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: 0.1950 <0.262 What do you​ conclude?
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 245 accurate...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 245 accurate orders and 71 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: 0.204< p < 0.288. What do you​ conclude? a) Construct a 90% confidence interval. Express the percentages...
In a study of the accuracy of fast food drive-through orders, Restaurant A had 296 accurate...
In a study of the accuracy of fast food drive-through orders, Restaurant A had 296 accurate orders and66 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:0.165 <p <0.237 What do you conclude?
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 238 accurate...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 238 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: 0.174 less than p less than 0.259. What do you​ conclude?
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 304 accurate...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 304 accurate orders and 72 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: 0.1730.173less than<pless than<0.2470.247. What do you​ conclude? Express the percentages in decimal form.
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 315 accurate...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 315 accurate orders and 62 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: 0.148 less than p less than 0.215. What do you​ conclude? a. Construct a 90​% confidence interval....
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 221 accurate...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 221 accurate orders and 64 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: 0.196<p<0.304. What do you​ conclude?
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 296 accurate...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 296 accurate orders and 61 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: 0.154 < p < 0.225. What do you​ conclude?
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 206 accurate...
In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 206 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: 0.198less thanpless than0.299. What do you​ conclude?
In a study of the accuracy of fast food drive-through orders, Restaurant A had 285 accurate...
In a study of the accuracy of fast food drive-through orders, Restaurant A had 285 accurate orders and 63 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: 0.167<p<0.241. What do you conclude?