EXPERIMENTAL DESIGN

Graduate

This course builds upon the basis of inference to include statistical techniques commonly used in experimental studies. Students will study topics such as analysis of variance models, hypothesis testing in ANOVA models, randomization, and blocking techniques. Graduate students are required to complete an additional project and report. This will be defined in consultation with the instructor to ensure the scope and assessment are sufficiently advanced to warrant graduate level credit. This course is cross-level listed with Stat 4240. Credit cannot be received for both MCS 8240 and Stat 4240. PREREQUISITE: Admission to a graduate program in Science HOURS OF CREDIT: 3