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Abstract:
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More quantitative skills are being expected of business school graduates. Given the advances in technology and the challenges facing corporations, future managers and leaders need to have a solid grasp of randomness, modeling techniques, and data analysis strategies. Whether students aspire to work in a financial, marketing, or managerial context, the concepts of risk and uncertainty play an important role. To meet these needs and improve student learning at the undergraduate level, this presentation will outline second statistics courses that include topics in modeling, time series analysis, decisionmaking, and simulation. Our hope is that the more students are taught to identify and analyze risk, the better they will understand the impact of their decisions.
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