A manufacturer of doorknobs has a production process

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Contemporary Project Management
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Chapter 12 / Exercise 11
Contemporary Project Management
Kloppenborg
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9.A manufacturer of doorknobs has a production process that is designed to provide a doorknob with a target diameter of 2.5 inches. The process standard deviation is 0.035 inch. In an effort to reduce the variation in the process, the process was re-designed. A sample of 20 doorknobs produced under the new process indicates a sample standard deviation of 0.025 inch. At the 0.05 level of significance, is there sufficient evidence to conclude that the process variance has been reduced by the re-designed process?Exam 2:One-year sales volumes of four similar 20-oz. beverages on a college campus are shown below. Does this sample contradict the assumption that sales are the same for each beverage?BeverageSales (Cases)Frappuccino Coffee35Frappuccino Mocha55Frappuccino Vanilla40Frappuccino Caramel30Volunteers tasted Zyr, Grey Goose and Stolychnaya with the results shown below.Correct?ZyrGrey GooseStolychnayaYes 877No1621252.Is there a relationship between correctness and brand of vodka tested?
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Contemporary Project Management
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Chapter 12 / Exercise 11
Contemporary Project Management
Kloppenborg
Expert Verified
3.The waiting time for five randomly selected patients with non-life threatening injuries was recorded at each of five hospitals and analyzed to determine whether there is a significant difference in the mean waiting time. The results of this analysis resulted in SST (total) = 4893.2 and SSTr (hospitals) = 1492.3. At the 0.05 level of significance, analyze the data to determine whether there is evidence of a difference in the mean wait time between the hospitals.In recent years, lack of confidence in the Postal Service has led many companies to send all of their correspondence by private courier. A large company is in the process of selecting one of five possible couriers to act as its sole delivery method. To help in making the decision, an experiment was performed whereby letters were sent using each of the three couriers at hourly intervals beginning at 6:00 AM and ending at 10:00 PM (17 deliveries) to a delivery point across town. The number of minutes required for delivery was recorded and the resultant sums of squares are summarized below. SS (Courier) = 356 SS (Time) = 1875 SS (Total) = 36644. Can we conclude at the 5% significance level that there are differences in delivery times among the five couriers?
Did the statistician choose the correct design? (i.e did blocking on time help?) Explain.

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