For each type of demographic factor, which differences test would you use for each demographic variable to determine the demographic profile for each model
AutoSave . Off HUB . Chapter 13 Case Analysis SP2020 Cedrich C Soglohoun File Home Insert Draw Design Layout References Mailings Review View Help Search Share Comments & Cut Find Paste CB Copy Calibri (Body) * 12 - A" A" Aa. A . E. 21 9 AaBbCCD AaBbCCD AaBbC( AaBbCc[ Ad B AaBbCCC AaBbCCD AaBbCCD AaBbCCD AaBbCcD AaBbCCD AaBbCcD AABBCCD AABBCCD BI U - x x A LA. 1 Normal 1 No Spac... Gc Replace Subtitle Subtle Em... Emphasis In Intense E... Strong Quote Intense Q... Subtle Ref... Intense Re.. = Select Dictate Format Painter Heading 1 Heading 2 Title Clipboard Font Paragraph Styles Editing Voice Auto Concepts Survey Differences Analysis Auto Concepts principals are encouraged by the findings of CMG Research's survey, which indicate that there is substantial demand for the various types of futuristic alternative-fuel automobiles under consideration. Depending on development costs, prices, and other financial considerations, it seems that any one model or any combination of the new models could be a viable option. The next step in their planning is to identify the target market for each automobile model type under consideration. This step is crucial to market strategy because the more precise the target market definition is, the more specific and pinpointed the marketing strategy can be. For a first cut at the market segment descriptions, the survey included the following commonly used demographic factors: Size of home town or city . . Gender Marital status Age . Level of education . Household income level Your task is to apply appropriate differences analysis using the surveys desirability measures and your auto concepts SPSS data set to determine the target market descriptions for each of the five possible automobile models. 1. 1-seat all electric 2. 4-seat all electric 3. 4-seat gasoline hybrid 4. 5-seat diesel hybrid 5. 5-seat standard size gasoline You will use differences test to determine the demographic profile for each model. The differences test will determine whether or not there is a statistical difference between the means. If we determine from the test that there is no significant statistical difference, then both or all characteristics would be used. For example, suppose we wanted to know if there was a significant statistical difference in mean response for desirability of a particular model based on gender. We would conduct a difference in means independent groups test for gender (used because only two response options). If the sig value for the test is less than .05 (our alpha value), then we reject the null hypothesis (HO) of no difference in means and concur that there is a difference. We then look at the mean response for each model, and the higher mean (because our scale ranges from 1=very undersirable to 7=very desirable) would indicate the gender characteristic for that model. Review the statistical tests summary sheet to understand the Levene's test. Part 1 (15 pts): For each type of demographic factor, which differences test would you use for each demographic variable to determine the demographic profile for each model. For example: to determine size of hometown, you would use an ANOVA because there are 5 response options groups to evaluate and an ANOVA is used for 3 or more groups when determining differences. Part 2 (25pts): Evaluate and analyze the SPSS to fill out the demographic profile document attached. You Page 1 of 2 24 of 493 words [1 5 -- 100% O Type here to search O P 4:22 PM 4/14/2020
