You are a supervisor at Regional Call Center’s Washington, DC, facility. Regional provides contract call center services for a number of companies, including banks and major retail companies. You have been with the company for slightly more than seven years, having joined Regional right after graduating with a master’s degree in business administration from Strayer University. After the monthly staff meeting, you were handed a new assignment by the company CEO. The assignment came out of a discussion at the meeting in which one of Regional’s clients wanted a report describing the calls being handled for them by Regional. The CEO had asked you to describe the data in a file attached called Regional Call Center and produce a report that would both graphically and numerically analyze the data. The data are for a sample of 57 calls and for the following variables:
Account Number.
Past Due Amount.
Current Account Balance.
Nature of Call (Billing Question or Other).
Instructions
Summarize the case scenario of the Regional Call Center’s Washington, D.C. facility.
Develop bar charts showing the mean and median current account balance.
Construct a scatter diagram showing current balance on the horizontal axis and past due amount on the vertical axis.
Compute the key descriptive statistics for current and past due amount.
Repeat task 4 but compute the statistics for the past due balances.
Compute the coefficient of variation for current account balances.
Write a 4-5 page report (including a cover page and a source list page) to National’s client that contains the results of the completed tasks along with a discussion of the statistics and graphs.
Sheet1
Account Number
Past Due Amount
Current Amount Due
Was this a Billing Question?
4348291
35
92.85
Yes
6008516
20
-129.67
No
17476479
0
86.38
No
13846306
35
99.24
No
21393711
0
47.98
Yes
18712654
22
40.89
Yes
19432077
0
-93.16
No
19205946
0
85.21
Yes
8679852
0
121.79
No
12762185
0
0
No
4139796
386.77
0
Yes
17139670
0
102.03
No
8979191
88.36
150.84
Yes
7280135
0
54.57
Yes
6707912
0
0
No
21520203
0
46.98
No
85623
0
78.41
Yes
9356536
0
142.95
Yes
17405616
0
51.83
Yes
20898785
155.8
217.86
Yes
19731969
0
26.08
No
12784685
90.7
181.67
Yes
20085243
0
1.12
Yes
20795784
0
-18.13
No
7487786
0
2.13
No
10728849
0
0
No
8688412
70.89
116.54
Yes
16719086
0
0
No
21133695
50.26
82.65
Yes
161458
0
58.82
No
15633571
0
57.54
Yes
5237633
0
27.03
No
16519689
0
41.99
Yes
16913865
0
-60.98
Yes
9862516
0
0
No
1086650
0
52.49
No
3294331
0
58.16
No
21119372
59.83
135.41
Yes
13763582
0
50.79
No
1594961
0
108.08
No
9602244
0
99.48
No
18848188
184.49
184.49
Yes
18538915
0
71.75
Yes
11844400
0
0
No
21422890
51.63
151.92
Yes
19069405
0
168.71
No
12008703
0
4.62
Yes
10986262
0
65.93
No
15042777
0
53.97
No
14501019
0
59.07
No
7071682
0
323.78
No
4567183
29.75
144.48
No
17862401
0
0
Yes
19301485
0
0
No
11169789
0
0
Yes
9377520
50.64
58.55
Yes
19753827
33.83
68.68
Yes
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