In a study of the accuracy of fast food drive-through orders, Restaurant A had 207 accurate orders and 67that 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: 0.225 less <p <0.309 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. 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 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. C. Since the two confidence intervals overlap, neither restaurant appears to have a significantly different 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. **if you can please explain how you might have done this in stat crunch or on the calculator, please explain it step by step if at all possible, thank you!

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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

207 accurate orders and

67that 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: 0.225 less <p <0.309

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.

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.

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.

Since the two confidence intervals overlap, neither restaurant appears to have a significantly different percentage of orders that are not accurate.

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

**if you can please explain how you might have done this in stat crunch or on the calculator, please explain it step by step if at all possible, thank you!

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