tudy 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 interv

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In 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 the interval for Restaurant A.​ Therefore, Restaurant B has a significantly higher percentage of orders that are not accurate.
 
C.
Since the two confidence intervals​ overlap, neither restaurant appears to have a significantly different percentage of orders that are not accurate.
 
D.
Since the upper confidence limit of the interval for Restaurant B is higher than both the lower and upper confidence limits of the interval for Restaurant​ A, this indicates that Restaurant B has a significantly higher percentage of orders that are not accurate.
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