Case studies 1. Assume that your data analytics examination related to voids and voided sales at a large retail 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: 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? Why? 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? Why? Scenario A Scenario B Numbe Employe r of Dollars Voided Numbe | Dollars r of Voided Voids e Location Voids New York, NY $12.6 Cleveland, OH $19.80 0 F 225 $7.425 600 $5.130 Portland, OR 185 $4.995 190 H H $63,55 5 2050 $62,290 2050