The study of statistics at Kellogg has two complementary goals: The first is to master the two languages of statistics: How to measure how much an estimate can be trusted and how to measure the weight of evidence with respect to a claim that has been made. The objective is to become knowledgeable consumers of statistical reports, effective managers of those doing the statistical "dirty work" and confident critics of statistics done badly. The other goal is to become facile at performing regression analysis, a tool for understanding the types of relationships all managers must deal with. A spreadsheet-based statistical analysis package is provided to all students.
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