Provide descriptive statistics of the data for each division of Experience, division of Position, and combination of the values of the two divisive factors. Exclude the effect of years of experience, the effect of Position, perform an ANOVA in each case and interpret the results. Perform a two-factor ANOVA to test for any significant differences due to position, years of experience, and interaction, as well as post-hoc tests for rank ordering if applicable. Use ɑ = .05 in all tests.
Comprehensive Learning Assessment 1 – CLO 4, CLO 7, CLO 11, CLO 12
Suppose that a local chapter of sales professionals in the greater San Francisco area conducted a survey of its membership to study the relationship, if any, between the years of experience and salary for individuals employed in inside and outside sales positions. On the survey, respondents were asked to specify one of three levels of years of experience: low (1–10 years), medium (11–20 years), and high (21 or more years).
Table 9
Sales Professionals Answers to the Survey on Years of Experience, Salary, and Position.
| Observation | Salary ($) | Position | Experience |
| 1 | 53,938 | Inside | Medium |
| 2 | 52,694 | Inside | Medium |
| 3 | 70,515 | Outside | Low |
| 4 | 52,031 | Inside | Medium |
| 5 | 62,283 | Outside | Low |
| 6 | 57,718 | Inside | Low |
| 7 | 79,081 | Outside | High |
| 8 | 48,621 | Inside | Low |
| 9 | 72,835 | Outside | High |
| 10 | 54,768 | Inside | Medium |
| 11 | 58,080 | Inside | High |
| 12 | 78,702 | Outside | Medium |
| 13 | 83,131 | Outside | Medium |
| 14 | 57,788 | Inside | High |
| 15 | 53,070 | Inside | Med |
| 16 | 60,259 | Outside | Low |
Use the sample data provided in the Table 9 to answer the following questions:
- Provide descriptive statistics of the data for each division of Experience, division of Position, and combination of the values of the two divisive factors.
- Exclude the effect of years of experience, the effect of Position, perform an ANOVA in each case and interpret the results.
- Perform a two-factor ANOVA to test for any significant differences due to position, years of experience, and interaction, as well as post-hoc tests for rank ordering if applicable.
Use ɑ = .05 in all tests.
