300

Students learn about and use data in decision making. This course emphasizes 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.

This course covers the 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.