SALESCALLSTIMEYEARSTYPE represents the number sales made this week. represents the number of sales calls made this week.

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SALESCALLSTIMEYEARSTYPE

represents the number sales made this week.

represents the number of sales calls made this week.

represents the average time per call this week.

represents years of experience in the call center.

represents the type of training the employee received

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 (10) possible pairings of two (2) 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, whereas others do not.

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)