Oconee Fall Line Technical College 2090 assignm – Description
In your opinion, what is the most common used type of descriptive statistic? Give the reasoning behind your answer.Compare and contrast the use of analysis of variance (ANOVA) versus conducting a series of t-tests to examine differences across groups.A sales manager examined age data, education level, a personality factor that indicated level of introvertedness/extrovertedness, and level of sales attained by the company’s 120-person salesforce. The technique used was regression analysis. After analyzing the data, the sales manager said, “It is apparent to me that the higher the level of education and the greater the degree of extrovertedness a salesperson has, the higher will be an individual’s level of sales. In other words, a good education and being extroverted cause a person to sell more.” Would you agree or disagree with the sales manager’s conclusions? Why? Please answer in 4-6 complete sentences.Retailing opportunities can take place without customer shopping at a store. Name and briefly discuss four forms of non-store retailing. (MAKE SURE TO USE STORES IN THE UNITED STATES. Is one type of sales resistance (e.g. need, price) more difficult to handle than another (e.g. source, product, time)? Explain. Are there ever going to be situations where the salesperson can’t overcome sales resistance?If you had to reach a customer segment of “tweens” (8-13), which medium would you choose? What about men in their 30s? Men in their 60s? In which medium would you advertise if you ran one of your city’s performing arts centers?New businesses are frequently launched as a means to smooth over dissatisfaction with a current glitch in the industry. Pick some industry and solve its customer dissatisfaction problem(s). For example, if you find flying annoying, or you’re not happy with your dentist, what changes could you make to enter that industry and enhance customer satisfaction (and be profitable)? Go online and find the average length of a “lifetime” for purchases in the categories of: houses, cars, gym memberships, baby diapers, birth control pills.
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