Course Detail
Units:
3.0
Course Components:
Lecture
Enrollment Information
Enrollment Requirement:
Prerequisites: "C-" or better in (OIS 2340 OR BCOR 2030) OR AP Statistics score of 3 or better.
Requirement Designation:
Quantitative Reasoning (Statistics/Logic)
Description
This practical and example-based course uses the essential tools and concepts of Six Sigma as a unifying framework. Discussion topics include design of experiments, goodness of fit, contingency tables, correlation analysis, nonparametric statistics, and an introduction to statistical process control. Moreover, hands-on skill is acquired for the development and interpretation of regression models from functional areas of accounting, finance, marketing and operations with a focus on depth rather than breadth of the subject material. Microsoft Excel is used to create graphical and numerical outputs with emphasis on interpretation of output. A comprehensive case write-up and presentation, integrating the essentials of course tools is prescribed as the end-of -term project. Business cases are used throughout the term for reinforcement purposes.