In a study of the accuracy of fast food drive-through orders, Restaurant A had 245 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:
0.192 < p < 0.275. What do you conclude?
Construct a 90% confidence interval. Express the percentages in decimal form.
a) = 66/311 = 0.2122
At 90% confidence level, the critical value is z0.05 = 1.645
The 90% confidence interval is
+/- z0.05 * sqrt((1 - )/n)
= 0.2122 +/- 1.645 * sqrt(0.2122(1 - 0.2122)/311)
= 0.2122 +/- 0.0381
= 0.1741, 0.2503
b) Thr 90% confidence interval 0.192 < P < 0.275 is wider than the interval in part - (a).
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 257 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: 0.206< p < 0.279. 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 299 accurate orders and 56 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: 0.137 p <0.214. What do you conclude? a. Construct a 95% confidence interval. Express the percentages in...
In a study of the accuracy of fast food drive-through orders, Restaurant A had 300 accurate orders and 51 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: 0.121<p<0.205. What do you conclude?
In a study of the accuracy of fast food drive-through orders, Restaurant A had 257 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: 0.164 < p < 0.234 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 340 accurate orders and 66 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: 0.139 <p<0.211. What do you conclude? a. Construct a 95% confidence interval. Express the percentages in decimal...
In a study of the accuracy of fast food drive-through orders, Restaurant A had345 accurate orders and 69 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: 0.156 less than 0.209
Need help with both a. and b. In a study of the accuracy of fast food drive-through orders, Restaurant A had 308 accurate orders and 57 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: 0.143 <p<0.198. What do you conclude? a. Construct a 90%...
In a study of the accuracy of fast food drive-through orders, Restaurant Ahad 281 accurate orders and 69 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: 0.174<p <0.266. What do you conclude? a. Construct a 95% confidence interval. Express the percentages in decimal form....
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