Experimental Design

Undergraduate

Analysis of variance; single-factor experiments; randomized block designs; Latin squares designs; factorial designs; 2f and 3f factorial experiments; fixed, random and mixed models; nested and nested-factorial experiments; Taguchi experiments; split-plot and confounded in blocks factorial designs; factorial replication; regression models; computational techniques and use of SAS, Maple or other statistical packages; related topics. Course Format: Lectures, 3 hours per week; lab, 1 hour per week. Prerequisite(s): STAT 2P82 (MATH) Course Notes: This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Exclusions: Completion of this course will replace previously assigned grade and credit obtained in MATH 3P81.