In a study of the accuracy of fast food drive-through orders, Restaurant A had 307 accurate orders and 65 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: 0.163
In a study of the accuracy of fast food drive-through orders, Restaurant A had 307 accurate orders and 65 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: 0.163
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Transcribed Image Text:In a study of the accuracy of fast food drive-through orders, Restaurant A had 307 accurate orders and 65 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: 0.163 <p<0.219. What do you conclude?
a. Construct a 90% confidence interval. Express the percentages in decimal form.
<p<
(Round to three decimal places as needed.)
b. Choose the correct answer below.
O 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.
O 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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