solution:-
a. given that n = 340 , x = 66
proportion p = x/n = 66/340 = 0.194
the z-critical value for 95% confidence from z table is 1.96
confidence interval formula
=> p +/- z * sqrt(p*(1-p)/n)
=> 0.194 +/- 1.96 * sqrt(0.194*(1-0.194)/340)
=> 0.152 < p < 0.236
b. choose the correct answer below
option C. Since the two confidence intervals overlap, neither restaurant appears to have a significantly different percentage of orders that are not accurate
In a study of the accuracy of fast food drive-through orders, Restaurant A had 340 accurate...
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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....
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 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 283 accurate orders and 55 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: 0.147less thanpless than0.217. 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 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 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 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 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
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