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location for the period of December 1 s t through 3 0 t h resulted in the following summary table. Also assume that location square

location for the period of December 1st through 30th resulted in the following summary table. Also assume that location square footages available for retail sales are reasonably comparable across these locations:
Scenario A Scenario B
\table[[Employee Location,\table[[Number Dollars],[of Voids Voided of Voids Voided]]]]
A New York, 600,$22,200,260,$8,320
B , Chicago, IL ,360,$10,800,230,$6,900
C Washington, 260,$6,500,325,$7,500
D , Miami, FL 240,$6,500,225,$5,625
E Boston, MA 250,$7,425,600,$23,120
F Cleveland, 230,$8,050,360,$12,600
G , Portland, OR 185$4,995,190,$5,130
2125$66,470,2190,$69,195
Case Discussion:
Given this fact pattern, identify which location in each scenario is anomalous, if any, and describe your rationale?
Assuming that these transactions are of reasonable significance to the retail organization, would you recommend a deeper examination of the anomaly for scenario A,B, or both?
Assuming that these transactions are of reasonable significance to the retail organization, which anomaly would concern you more, the anomaly in scenario A or the one in scenario B, if you identified such an anomaly?
Assume that your data analytics examination of the accounts receivable system (credit sales, credit memos and debit memos) yielded the following summary:
\table[[Credit,,],[Sales,Credit,Debit],[memos,memos,],[(in,(dollars),(dollars)],[millions),,]]
Scenario 1,$13.0,$75,000$1,000
Scenario II $12.5,$90,000$75,000
Case Discussion: Which scenario would be more concerning? Why?
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