QM 401 - Quantitative Analysis for Managers
Semester Hours: 4
Periodically
Introduction to concepts and methods in quantitative analysis which are most
useful to executives in managing productive processes. Major emphasis is on improving
executives’ understanding of variation and its control and reduction consistent
with a commitment to continuous improvement. The course consists of three modules.
The first concentrates on summarizing and describing data, and modeling randomness
and variability using probability theory. Topics included in this module are descriptive
statistics, statistical process control, probability, sampling, estimation, and
hypothesis testing. The second module concentrates on the use of regression analysis
and experimentation to improve performance. Topics include simple and multiple
regression and correlation, design of experiments, and analysis of variance. The
third module focuses on the decision sciences models that are most widely used
in the practice of management decision making. Among these are decision analysis,
linear programming (with emphasis on formulation, computer solution, and sensitivity
analysis) and simulation. Use of statistical software and spreadsheets are emphasized
throughout the course.
Prerequisite(s)/Course Notes:
Open only to matriculated Zarb School of Business E.M.B.A. students.
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