I’ve made a dent in this project and just need a little help wrapping it up. I’m attaching what I’ve completed so far (extra points if you can revise possible errors you may find 😀 )
I am attaching the files you will use for Project Part A. The Excel file has 5 variables: Sales, Calls, Time, Years and Type. Only Type (for type of training) is not a quantitative variable. For each of them, use Excel to run graphs and charts (such as pie charts, bar graphs, frequency tables, etc.), and, of course our “good ol’” measures of central tendency (like the average, min., max, standard deviation)…and use your own words to describe the analyses.
NEXT, Give us your perspective (again, your own words suffice) for three of those 5 variables. Again, use Excel to show the five-number (Min, Max, Q1, Q3 and median) summary calculations. Explain what are the measures of dispersion and show the shapes of the distributions look.
Your instructor will provide you with a data file that includes data on five variables:
SALES represents the number of sales made this week.
CALLS represents the number of sales calls made this week.
TIME represents the average time per call this week.
YEARS represents years of experience in the call center.
TYPE represents the type of training the employee received.
Part A: Exploratory Data Analysis
- Open the files for the course project and the data set.
- 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 Excel as much as possible, explaining what the results reveal. Some of the following graphs may be helpful: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, 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, the measures of dispersion, and the shapes of the distributions (for the quantitative variables) for the above data. Where appropriate, use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use Excel as appropriate, and explain what the results mean.
- Analyze the connections or relationships between the variables. There are ten possible pairings of two variables. Use graphical as well as numerical summary measures. Explain the results of the analysis. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.
- From the variable analysis above, provide the analysis and interpretation for three individual variables. This would include no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), the shapes of the distributions for quantitative variables, 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 pairing must include a qualitative variable and at least one pairing must not include a qualitative variable.
- Prepare the report in Microsoft Word,integrating graphs and tables with text explanations and interpretations. Be sure to include graphical and numerical back up for the explanations and interpretations. Be selective in what is included in the report to meet the requirements of the report without extraneous information.
- 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 grading rubric below.
Submission: The report, including all relevant graphs and numerical analysis along with interpretations
Format for report:
- Brief Introduction
- Discuss 1st individual variable, using graphical, numerical summary and interpretation
- Discuss 2nd individual variable, using graphical, numerical summary and interpretation
- Discuss 3rd individual variable, using graphical, numerical summary and interpretation
- Discuss 1st pairing of variables, using graphical, numerical summary and interpretation
- Discuss 2nd pairing of variables, using graphical, numerical summary and interpretation
- Discuss 3rd pairing of variables, using graphical, numerical summary and interpretation