19. Fast Food Accuracy In a study of the accuracy of fast food drive-through orders, Burger King had 264 accurate orders and 54 that were not accurate (based on data from QSR magazine). a. Construct a 99% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the result from part (a) to this 99% confidence interval for the percentage of orders that are not accurate at Wendy’s: 6.2% to 15.9%. What do you conclude?
Added by Richard L.
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The sample proportion of inaccurate orders is 54 / 318 = 0.170. ** Show more…
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In a study of the accuracy of fast food drive-through orders, Burger King had 264 accurate orders and 54 that were not accurate (based on data from $Q S R$ magazine). a. Construct a $99 \%$ confidence interval estimate of the percentage of orders that are not accurate. b. Compare the result from part (a) to this $99 \%$ confidence interval for the percentage of orders that are not accurate at Wendy's: $6.2 \%<p<15.9 \%$. What do you conclude?
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In a study of the accuracy of fast food drive-through orders, Restaurant A had 316 accurate orders and 55 that were not accurate. a. Construct a 95% confidence interval estimate of the percentage of orders that are not accurate. Express the percentages in decimal form. b. Compare the results from part (a) to this 95% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.127 <p< 0.206. What do you conclude?
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In Exercises $9-20,$ use the data in the following table, which lists drive-thru order accuracy at popular fast food chains (data from a QSR Drive-Thru Study). Assume that orders are randomly selected from those included in the table. Fast Food Drive-Thru Accuracy If one order is selected, find the probability of getting an order that is not accurate.
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