
Managing for Quality and Performance Excellence 9th Edition by James Evans,William Lindsay
Edition 9ISBN: 978-1285069463
Managing for Quality and Performance Excellence 9th Edition by James Evans,William Lindsay
Edition 9ISBN: 978-1285069463 Exercise 3
Note: Data sets for many problems in this chapter are available in the Excel workbook C06Data.xlsx on the Student Companion Site. Click on the appropriate worksheet tab as noted in the problem (e.g., Prob. 6-1) to access the data. In addition, the spreadsheet templates illustrated in the chapter are also available to aid in solving many of these problems.
A quality manager at Newvis Pharmaceutical Company is monitoring a process that fills vials with a liquid medication designed to prevent glaucoma in the eyes of the user. The company wants to ensure that each vial contains at least 60 mL (2.03 fluid oz.) of the product. A sample of 25 vials is tested, and a mean of 63 mL and a sample standard deviation of 10 mL are found. The quality manager wishes to test the null hypothesis that vials contain less than or equal to 60 mL using an ? = 0.05 significance level (rejecting this hypothesis provides evidence that the vials contain the required amount). Conduct the test and explain your results.
A quality manager at Newvis Pharmaceutical Company is monitoring a process that fills vials with a liquid medication designed to prevent glaucoma in the eyes of the user. The company wants to ensure that each vial contains at least 60 mL (2.03 fluid oz.) of the product. A sample of 25 vials is tested, and a mean of 63 mL and a sample standard deviation of 10 mL are found. The quality manager wishes to test the null hypothesis that vials contain less than or equal to 60 mL using an ? = 0.05 significance level (rejecting this hypothesis provides evidence that the vials contain the required amount). Conduct the test and explain your results.
Explanation
Statistical analysis:
It is given that ...
Managing for Quality and Performance Excellence 9th Edition by James Evans,William Lindsay
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