In a study of the accuracy of fast food drive-through orders, Restaurant A had 262 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: 0.156

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Chapter4: Equations Of Linear Functions
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A. Since the two confidence intervals​ overlap, neither restaurant appears to have a significantly different percentage of orders that are not accurate.

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 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.

D. No conclusion can be made because not enough information is given about the confidence interval for Restaurant B.

In a study of the accuracy of fast food drive-through orders, Restaurant A had 262 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: 0.156 < p < 0.226. What do you
conclude?
a. Construct a 90% confidence interval. Express the percentages in decimal form.
<p<(Round to three decimal places as needed.)
Transcribed Image Text:In a study of the accuracy of fast food drive-through orders, Restaurant A had 262 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: 0.156 < p < 0.226. What do you conclude? a. Construct a 90% confidence interval. Express the percentages in decimal form. <p<(Round to three decimal places as needed.)
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