Abstract
The call center JM Insurance would like to have a better understanding of the raw data
the have collected. All the data they collected were from their 100 Sales Representatives. They
wanted a better understanding of their sales per week, how many calls were made per week,
the amount of time for each call per week, the years of experience of their sales
representatives, and all the types of training their employee received.
1. SALES represents the number of sales made this week.
2. CALLS represents the number of sales calls made this week.
3. TIME represents the average time per call this week.
4. YEARS represents years of experience in the call center.
, 5. TYPE represents the type of training the employee received.
Project Part A: Exploratory Data Analysis
SALES
We had twenty-seven Sales Representatives whose sales were in the thirties. Another
sixty-three Sales Representatives had their sales in the forties. Then we have JM’s top Sales
Representatives, with three with at least fifty sales and seven with sixty-two or more sales. The
overall MEAN for JM’s sales per week from all their Sales Representatives was 43.63. The
overall MEDIAN was 42.5. The MODE was 41 and RANGE being 37.
CALLS
The next group of raw data we will be looking at is the number of calls each Sales
Representative did per week. We had thirty-two of JM’s Sales Reps who made at least
onehundred-twenty-five calls but less than one-hundred-fifty calls per week. sixty-six Sales Reps
of
JM’s Insurance were able to make at least one-hundred-fifty calls but made less than
twohundred calls per week. Then we had only two Sales Representatives who made than
twohundred calls.