SALESCALL Inc. has thousands of salespeople throughout the country. A sample of 100 salespeople is selected, and data is collected on the following variables.
1. SALES (the number of sales made this week)
2. CALLS (the number of sales calls made this week)
3. TIME (the average time per call this week)
4. YEARS (years of experience in the call center)
5. TYPE (the type of training, either group training, online training of no training)
The data file can be found in Doc Sharing titled Course Project Data.xlsx.
This project is due in three parts, at the end of Weeks 2, 6, and 7 respectively.
PROJECT PART A: Exploratory Data Analysis
1. Open the file Course Project Data.xlsx from the Course Project Data Set folder in Doc Sharing.
2. For each of the five variables, process, organize, present, and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use Minitab as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency or relative frequency table, histogram, boxplot, dotplot, pie chart, or bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition, be sure to find the appropriate measures of central tendency and measures of dispersion for the above data. Where appropriate, use the five number summary (the min, Q1, median, Q3, max). Once again, use Minitab as appropriate, and explain what the results mean.
3. Analyze the connections or relationships between the variables. There are 10 pairings here (SALES and CALLS, SALES and TIME, SALES and YEARS, SALES and TYPE, CALLS and TIME, CALLS and YEARS, CALLS and TYPE, TIME and YEARS, TIME and TYPE, YEARS and TYPE). Use graphical and numerical summary measures. Explain what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.
4. Prepare your report in Microsoft Word (or some other word processing package), integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report. I’m not looking for a 20-page report on every variable and every possible relationship (that’s 15 things to do). Rather, what I want you do is to highlight what you see for three individual variables (no more than one graph for each, one or two measures of central tendency and variability, and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one of your pairings must include TYPE, and at least one of your pairings must not include TYPE.
All DeVry University policies are in effect, including the plagiarism policy.
Project Part A report is due by the end of Week 2.
Project Part A is worth 100 total points. See the grading rubric below.
Submission: The report from Part 4, including all relevant graphs and numerical analysis, along with interpretations.
Format for Report:
Discuss your first individual variable, using graphical, numerical, summary, and interpretation.
Discuss your second individual variable, using graphical, numerical, summary, and interpretation.
Discuss your third individual variable, using graphical, numerical, summary, and interpretation.
Discuss your first pairing of variables, using graphical, numerical, summary, and interpretation.
Discuss your second pairing of variables, using graphical, numerical summary and interpretation
Discuss your third pairing of variables, using graphical, numerical, summary, and interpretation.