Question: Please help! 1.What is the margin of error for the population mean at 90% confidence level for the the information in data? Hint: IT IS

Please help!

1.What is the margin of error for the population mean at 90% confidence level for the the information in data? Hint: IT IS SUGGESTED THAT YOU COMPUTE USING EXCEL, USE THE CELL ADDRESSES INSTEAD OF TYPYING INTERMEDIATE RESULTS AND ONLY ROUND THE FINAL RESULTS USING THE NUMBER OPTIONS IN HOME TAB. Hint: Accuracy is required because three of the answers are close. It is suggested that you compute using Excel, use cell addresses instead of typing intermediate results, and only round the final result using the Number options in the Home tab.

Wait Time (minutes) 5.1 10.8 6.2 4.3 5.7 7.3 4.7 7.5 8.7 5.5 8.7 7.7 6.5 6.2 11.4 8.1 5.5 12.3 6.4 7.2 7.6 9.2 8.9 6.9 4.8 9.4 11.7 5.6 7.1 13.4

a. 0.72

b.0.73

c. 0.74

d. 0.74

2.Bobo's bad burgers fast food claims you will be in and out in 5 mins. To test this claim, time in mins from entering Bobo's to receiving the order was secretly recorded. The results are as follows. At 95% confidence level, does the confidence interval support Bobo's claim?

Wait Time (minutes)

1.0

5.3

1.1

0.2

1.8

0.4

1.5

3.5

0.7

3.0

2.5

0.4

1.3

5.7

2.1

0.8

7.6

1.3

1.2

1.3

3.7

4.2

2.1

0.3

3.3

5.8

0.6

2.0

7.5

a.The confidence limits (4.77, 6.58) support the claim of 5 minutes. 5 falls in between the confidence limits. Bobo's performance meets the expectation.

b.The confidence limits (6.79, 8.56) reject the claim of 5 minutes. 5 is less than the lower confidence limit. Audit of Bobo's procedures and employees is recommended.

c. None of the answers match my calculations.

d.The confidence limits (1.62, 3.21) reject the claim of 5 minutes. 5 is greater than the upper confidence limit. Performance at Bobo's is incredible.

3. An important application for regression in manufacturing is the estimation of cost of production.Based on DATA from Ajax Widgets relating cost (y) to volume (x), what is the cost of producing 600 widgets?

Production

Volume

(Units) Total Cost ($)

400 5424

450 5657

550 5759

600 7294

700 7583

750 8603

425 5311

475 6093

575 6662

625 7380

725 7784

775 8588

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