In a study of the accuracy of fast food drive-through orders, Restaurant A had 338 accurate orders and 70 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: 0.157
In a study of the accuracy of fast food drive-through orders, Restaurant A had 338 accurate orders and 70 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: 0.157
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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In a study of the accuracy of fast food drive-through orders, Restaurant A had 338 accurate orders and 70 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: 0.157<p<0.221. What do you conclude?

Transcribed Image Text:In a study of the accuracy of fast food drive-through orders, Restaurant Ahad 338 accurate
orders and 70 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: 0.157 <p <0.221. What do you conclude?
a. Construct a 90% confidence interval. Express the percentages in decimal form.
(Round to three decimal places as needed.)
<p<
b. Choose the correct answer below.
O A. 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.
B. Since the two confidence intervals overlap, neither restaurant appears to have a
significantly different percentage of orders that are not accurate.
O c. 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.
O D. No conclusion can be made because not enough information is given about the
confidence interval for Restaurant B.
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