506—Introduction to Experimental Design. (3) (Prereq: MATH 122 or MATH 142 or STAT 201) Techniques of experimentation based on statistical principles with applications to quality improvement and other fields. Full and fractional factorial designs for factors at two levels; dispersion effects; related topics.
Sample Course Homepage: Recent Semester
Usually Offered: Spring odd years.
Purpose: To teach the most basic principles and techniques of experimentation and subsequent data analysis with a minimum of statistical formality/abstraction. Special emphasis will be placed on experimentation for quality improvement. Concepts will be taught using case studies and real examples, and a course project.
Current Textbook: Designing for Quality, by Robert H. Lochner and Joseph E. Matar, Quality Resources, White Plains, N.Y. 1990.
|Introduction; samples and populations||1 week|
|Two-level experiments: full factorial designs||4 weeks|
|Two-level experiments: fractional factorial designs||3.5 weeks|
|The Taguchi approach to quality||2.5 weeks|
|Introduction to factors at three or more levels, and analysis of variance||1 week|
|Presentation of course projects||1 week|
The above textbook and course outline should correspond to the most recent offering of the course by the Statistics Department. Please check with the instructor for the course regulations, expectations, and operating procedures.
Contact Faculty: John Grego