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Which of the following is an example of a temporal event?

a) Set alarm

b) Time to renew drive license

c) Deb wants to set a reminder for an appointment

d) all of the above

e) None of the above

Aver ordered a laptop from an online store which offered loyalty points for each purchase made by a customer. After Aver made payment, the store’s online ordering system provided him with a summary of the order, and showed the balance of his loyalty points. Based on the description, which of the following statements is true?

a) “Order product online” is a use case

b) “Order product” includes “Update points balance”

c) “Pay for laptop” is a use case

d) All of the above

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Defensive Driving An investigator for the state police wants to determine the effectiveness of three different defensive driving training programs to see if there are gender differences. Five subjects of each gender who recently received speeding tickets are assigned to each program. At the end of the program, each is given a written test on his or her knowledge of defensive driving. The scores (out of 100) are given next.

(a) The scores are approximately normally distributed. Verify the requirement of equal population variances.

(b) Determine whether there is significant interaction between program and gender. (c) If there is no significant interaction, determine whether there is significant difference in the means for the three programs.

(d) Draw an interaction plot of the data to support the results of parts (b) and (c).

(e) If there is significant difference in the means for the three programs, use Tukey’s test to determine which pairwise means differ using a familywise error rate of

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Concrete Strength Researchers Olivia Carrillo-Gamboa and Richard Gunst presented the following data in their article, “Measurement-Error-Model Collinearities.” The data represent the compressive strength (in pounds per square inch) of a random sample of concrete 2 days, 7 days, and 28 days after pouring.

(a) Normal probability plots for each treatment indicate that the requirement of normality is satisfied. Verify that the requirement of equal population variances for each treatment is satisfied.

(b) Is there sufficient evidence that the mean strength is different among the three days at the  level of significance?

(c) If the null hypothesis from part (b) was rejected, use Tukey’s test to determine which pairwise means differ using a familywise error rate of .

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Michelin has five major geographic divisions: Europe, North America, Asia, South America, and Africa/India/Middle-East. The company faces fierce but different competitors in each segment. The external opportunities and threats that Michelin faces are different in each geographic segment, so each segment prepares its own list of key external success factors. This external analysis is critically important in strategic planning because a firm needs to exploit opportunities and avoid or, at least, mitigate threats. The purpose of this exercise is to develop divisional EFE matrices that Michelin could use in developing an overall corporate EFE Matrix. Instructions Step 1 Go to the http://www.michelinman.com/US/en/homepage.html website. Review the company’s most recent Annual Report. Step 2 Determine and review Michelin’s major geographic segments. Step 3 Conduct research to determine what you believe are the four major threats and the four major opportunities critical to strategic planning within Michelin’s geographic segments. Review the relevant Standard and Poor’s Industry Survey documents for each segment. Step 4 Develop divisional EFE Matrices for Michelin. Work within a team of students if your instructor so requests but you will need an EFE Matrix for each segment. Step 5 Prioritize the 20 threats and the 20 opportunities developed in the prior step so that corporate Michelin top executives can better develop a corporate EFE Matrix. Step 6 Let’s say Michelin has their operations segmented by domestic versus global. Based on your research, prepare an EFE Matrix for Michelin’s domestic operations and another EFE Matrix for Michelin’s global Operations. Let Europe be domestic and all other regions be global.

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