Suppose that a local chapter of sales professionals in the greater San Francisco area conducted a survey of its membership to study the relationships, if any, between the years of expirience 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 expirience; low (1-10 years), medium (11-20 years), high (21-or more years). A portion of the data obtained follow. The complete data set consisting of 120 observations is available on the website accompaning the text in the file, named SalesSalary.
Managerial Report
1. Use descriptive statistics to summarize the data
2. Develop a 95% confidence interval estimate of the mean annual salary for all sales persons, regardeless of years of expirience and type of position.
3. Develop a 93% confidence interval estimate of the mean salary for the inside sales person.
4. Develop a .95 confidence interval estimate of the mean salary for outside sales person
5. Use Analysis of varience to test for any significan differences due to position. Use a .05 level of significance, and for now, ignore the effect of years of expirience.
6. Use analysis of varience to test for any significant difference due to years of expirience. Use a 0.05 level of significance, and for now, ignore the effect of position.