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About this document
- Pages
- 12 pages
- Price
- $12 one-time, yours to keep
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- Format
- Subject
- Business, Statistics
This research paper studies the compensation factor of industrial distribution professionals. It summarizes data from a survey of 120 salespersons, comparing salaries based on position and years of experience. It also develops confidence intervals and uses analysis of variance to test for significant differences.
What's inside
- Survey of industrial distribution professionals
- Descriptive statistics of salaries
- Confidence intervals for mean salaries
- Analysis of variance for position and experience
- Comparison with national salary values
Who it is for: Students studying business or statistics, or professionals in industrial distribution. (Undergraduate)
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Summary
Industrial distribution professionals' salaries vary by company size and sales position. This document looks at a survey of salespeople in the San Francisco area. It uses statistical methods to analyse the data.
Survey background
Industrial Distribution has tracked compensation for ID professionals for a decade. The 1997 survey showed that smaller companies often pay more. Outside salespeople typically earn more than inside salespeople.
Descriptive statistics
The survey data is summarised using mean, median, mode, standard deviation and other measures. The data is positively skewed. The salaries of inside and outside salespeople are compared.
Confidence intervals
Confidence intervals are developed for the mean annual salary of all salespersons and for outside salespersons. The results are compared with national values. The difference between inside and outside salespeople's salaries is analysed.
Analysis of variance
Tests are carried out to see if there are significant differences in salaries due to position, years of experience, and their interaction. Non-parametric tests are used because the data is not normally distributed.
Key terms
- Descriptive statistics
- Methods for summarising and describing data.
- Confidence interval
- A range of values that is likely to include a population parameter.
- Analysis of variance
- A statistical method for comparing means across groups.
- Non-parametric test
- A statistical test that does not assume a specific distribution for the data.
- Mann-Whitney test
- A non-parametric test for comparing two independent samples.
- Kruskal-Wallis H test
- A non-parametric test for comparing more than two independent samples.
Questions this document helps with
- How does company size affect industrial distribution professionals' salaries?
- What is the typical salary for an outside salesperson?
- Do inside and outside salespeople earn significantly different salaries?
Summary written with AI from the document's text.
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