Analysis of Variance and Design of Experiments

Catalog description

This course is an introduction to single factor, multiple factor, and randomized block designs in analysis of variance. Inferences, appropriateness of model, model diagnostics/adequacy, difficulties in the application of models are discussed. Design or structure of an experiment is discussed. A computer package is used. Course participants are involved with hands-on statistical applications and consulting. This course is taught largely at an undergraduate level. Graduate students have additional course requirements/expectations. Prerequisite: grade of "C" or better in STAT 305 or STAT 345 ; junior standing. Offered Spring.