Design of Experiment. ((3 Credits))

Catalog description

Prerequisite(s): STAT 2040 or STAT 2050 with a grade of C or higher and University Advanced Standing Introduces the design and analysis of randomized comparative experiments. Includes single factor ANOVAs, randomized block designs, latin squares, factorial designs, and nested and split plot designs. Covers mixed models including random effects and computation of expected mean squares to form appropriate F-ratios. Uses SAS statistical program software to perform statistical analysis.