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BRIEF CASES 1. Assume that your data analytics examination related to voids and voided sales at a large retail location for the period of

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BRIEF CASES 1. Assume that your data analytics examination related to voids and voided sales at a large retail location for the period of December 1 through 30 resulted in the following summary table. Also assume that location square footages available for retail sales are reasonably comparable across these locations: Employee Scenario B Location Scenario A Number of Dollars Number of Dollars voids voided voids voided A New York, NY 230 $8,050 360 $12,600 B Chicago, IL 360 $10,800 230 $6,900 C Washington, 260 $6,500 225 $5,625 DC DEC Miami, FL 600 $19,200 260 $8,320 Boston, MA 190 $5,320 185 $5,180 F Cleveland, 225 $7,425 600 $19,800 OH G Portland, OR 185 $4,995 190 $5,130 2,050 $62,290 2,050 $63,555 Case discussion: 1. Given this fact pattern, identify which location in each scenario is anomalous, if any, and describe your rationale. 2. 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? 3. 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?

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