Course Detail
Course Components:
Enrollment Information
Enrollment Requirement:
Prerequisite: A grade of C or better in MATH 1220 or 1250.
This general study of statistical techniques is a practical, case/example-based course that uses the essential tools and concepts of Six Sigma as a unifying framework. Discussion topics include descriptive statistics, confidence intervals, hypothesis testing, design of experiments, goodness of fit, correlation & regression analysis. An introduction to statistical process control is introduced for Quality Management exposure. Hands-on skill is acquired for the development and interpretation of regression models from functional areas of business, biostatistics, science & engineering. The emphasis is 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. Practical exercises and industry cases are used throughout the term for reinforcement purposes. Students are encouraged to bring laptops to class.