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You work for a marketing firm that has just landed a contract with Run-of-the-Mills to help them promote three of their products: penguin patties, raskels, and kipples. All of these products have been on the market for some time, but, to entice better sales, Run-of-the-Mills wants to try a new advertisement that will market two of the products that consumers will likely consume together. As a former economics student, you know that complements are typically consumed together while substitutes can take the place of other goods.

Run-of-the-Mills provides your marketing firm with the following data: When the price of penguin patties decreases by 5%, the quantity of raskels sold decreases by 4% and the quantity of kipples sold increases by 6%. Your job is to use the cross-price elasticity between penguin patties and the other goods to determine which goods your marketing firm should advertise together.

Complete the first column of the following table by computing the cross-price elasticity between penguin patties and raskels, and then between penguin patties and kipples. In the second column, determine if penguin patties are a complement to or a substitute for each of the goods listed. Finally, complete the final column by indicating which good you should recommend marketing with penguin patties.

Relative to Penguin Patties

Recommend Marketing with Penguin Patties (Yes or No)
Cross-Price Elasticity of Demand Complement or Substitute
Raskels
Kipples

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Waiting in Line A quality-control manager at an amusement park feels that the amount of time that people spend waiting in line for the American Eagle roller coaster is too long. To determine if a new loading/unloading procedure is effective in reducing wait time in line, he measures the amount of time (in minutes) people are waiting in line for seven days. After implementing the new procedure, he again measures the amount of time (in minutes) people are waiting in line for seven days and obtains the data on the next page. To make a reasonable comparison, he chooses days when weather conditions are alike.
Treat each day as a block and the wait times before and after the procedure as the treatment.

(a) Using the methods introduced in this section, determine whether there is sufficient evidence to conclude that the two loading procedures are resulting in different measurements of the wait time at the  level of significance.

(b) Using the methods introduced in Section 11.2, determine whether there is sufficient evidence to conclude that the two loading procedures are resulting in different measurements of the wait time at the  level of significance.

(c) Compare the -values of both approaches. Can you conclude that the method presented in this section is a generalization of the matched-pairs -test?

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Open the MDS data-set

a. Using the PROXSCAL program, assume that the data are ordinal and compute the distance matrix between pairs of sports for the 50 respondents with two-dimensional MDS

b. Which sports are the most similar according to consumer perceptions? Which ones are the most different?

c. What are the differences between this distance matrix and the one produced by ALSCAL (see exercise 1)?

d. Try and change the type of measure, the initial configuration (the latter from the OPTION menu) and the number of dimensions and find the best output according to the STRESS function

e. Repeat the analysis, this time looking for similarities between respondents for the ten sports on two-dimensions

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Volkswagen (VW) Group is featured in the opening chapter case as a firm that engages in excellent strategic planning despite its recent legal/ethical pollution fiasco. VW has four major geographic business segments. Each of these divisions of VW would prepare their own IFE matrices, which would be assimilated to develop an overall corporate IFE matrix. This exercise gives you practice developing divisional IFE matrices and assimilating those into an overall corporate IFE matrix. Instructions Step 1 Review VW’s most recent Annual Report in regards to the company’s four geographic business segments, which are North America, South America, Asia-Pacific, and Europe. Step 2 Review the latest S&P Industry Survey for companies that produce and market automobiles. Step 3 Develop a divisional IFE matrix for each of VW’s business segments. Step 4 Assimilate your divisional IFE matrices into an overall corporate IFE matrix for VW.

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