Opening session: Statistics for Decision Making in the Twenty-First Century
As big data become more central to commerce, our graduates need an updated view of statistics. Data management must move beyond the spreadsheet as data analysis and analytics progress beyond pie charts and trends. Models, especially those with many predictors once regarded as too advanced for the introductory course, but to make effective decisions the modern manager needs to know how to deal with complex relationships. How can we have time to teach basic statistics as well as the formerly advanced topics that are needed in today’s environment? Perhaps we’re teaching the course backward. In this talk I’ll describe some new approaches to teaching statistics to business students that make these skills and concepts that once were found only in advanced courses accessible.