In a study of the accuracy of fast food drive-through orders, Restaurant A had 231 accurate orders and 73 that were not accurate. a. Construct a 95% confidence interval estimate of the percentage of...


In a study of the accuracy of fast food drive-through orders, Restaurant A had 231 accurate orders and 73 that were not accurate.<br>a. Construct a 95% confidence interval estimate of the percentage of orders that are not accurate.<br>b. Compare the results from part (a) to this 95% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.209 <p<0.311. What do you conclude?<br>a. Construct a 95% confidence interval. Express the percentages in decimal form.<br><p< (Round to three decimal places as needed.)<br>b. Choose the correct answer below.<br>O A. 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<br>higher percentage of orders that are not accurate.<br>O B. Since the two confidence intervals overlap, neither restaurant appears to have a significantly different percentage of orders that are not accurate.<br>OC. 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<br>than the upper confidence limit of the interval for RestauranțA. Therefore, Restaurant B has a significantly higher percentage of orders that are not accurate.<br>O D. No conclusion can be made because not enough information is given about the confidence interval for Restaurant B.<br>

Extracted text: In a study of the accuracy of fast food drive-through orders, Restaurant A had 231 accurate orders and 73 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: 0.209
Jun 03, 2022
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