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Presentation and use of data in decision making, with emphasis on practical business applications; graphic and tabular summarization; measures of central tendency and dispersion; sampling distributions and estimation of important statistical parameters; hypothesis testing; analysis of variance; non-parametric methods; and single and multiple regression analysis. Excel is used to solve large scale case problems.

Study, development and utilization of quantitative models for business decisions (linear programming; decision theory; PERT/CPM; queuing theory; simulation; forecasting and inventory control). Business problems are analyzed and solved using the aforementioned methods.