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1. Using the variables listed in the table above, state for each variable whether it is qualitative or quantitative; if it is qualitative, state whether it is nominal or ordinal, and if it is quantitative, state whether it is discrete or continuous.
2. Create a histogram showing the distribution of salaries. Comment upon the shape of the distribution: is it symmetric? If it is not, is it positively or negatively skewed? Are there any outliers present? If so, are they of particular interest? State which central measure would be best to use to describe the centre of this distribution, and the reason(s) why.
3. Prepare a simple summary table that shows the average and standard deviation of salary for the five work areas. Construct side-by-side boxplots for the salaries. Briefly comment upon any differences you observe in salaries for each work site.
4. Construct a pivot table that shows satisfaction for each area of employment. Place satisfaction in the rows, area in the columns and a count of job satisfaction in the body of the table. Obtain a second pivot table by converting the frequencies in each column into relative frequencies in each column (right click on any number in the table, then choose Summarize Values as % of column totals).
If the business school graduate wanted to get most satisfaction from their job, based on the information in the table, which area of employment should they choose? Construct a bar chart comparing the distribution of males and females in all areas of employment.
Introduction
University graduates are getting jobs at different positions in the company. In the present study, salary, job satisfaction, and area of employment has been explored to acquire an idea about the entire scenario. The scholar randomly selected data for 150 students along with a description of their current job status.
1. Data Exploration
There were five variables in the collected sample data. Area of work, Satisfaction level at work, and Gender were qualitative variables. Area of employment and gender were nominal variables, whereas the Satisfaction level was ordinal variable. The number of weeks of job searching (Search) and Salary ($ thousands) were quantitative variables. Search was a discrete variable, and Salary was continuous in nature. Read more...
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