EDBA 731B Quantitative Research Methods II (2)

This course continues the foundational work done in EDBA 731A where the basic techniques of applied statistical analysis were covered. Knowledge of techniques including estimation, tests of mean differences, differences in distributions, and an introduction to regression are built on to expose students to linear programming and optimization models so that they can use these methods for their own research. Students will further develop knowledge of advanced treatment of model building for decision makers include simulation, decision analysis, and optimization modeling. Cases and practical illustrations used in the course derive from a variety of business disciplines that have relevance for the student’s research. Prerequisite(s): EDBA 731A Quantitative Research Methods I (2)

Grading Basis: Graded