Experimental Design and Analysis

3 credits · Undergraduate

This course discusses experimental designs and analyses. Topics covered include basic principles and guidelines for designing experiments, simple comparative designs, single factor analysis of variance, block designs, factorial designs, response surface methods and designs, nested and split plot designs, and the analysis of covariance. Prerequisite(s): One of MATH 150-3 or MATH 220-3; and one of MATH 240-3, MATH 371-3, ECON 205-3, PSYC 315-4, STAT 240- 3, or STAT 371-3 Preclusion(s): MATH 473-3, MATH 499-3 when offered as Design of Experiments