Applied Statistics and Experimental Design for Agriculture

3 credits · Graduate

This course is designed to provide practical skills in statistical methods and experimental designs, and an appreciation of situations when more complex models and methods are required. Topics include linear and nonlinear regression, split-plot designs, repeated measures, and response surface methods. Students will be expected to successfully complete practical exercises and a project involving real experimental problems and data sets. Students will also be expected to acquire proficiency in at least one advanced statistical software package. CALENDAR NOTES: Winter semester PREREQUISITES: STAA 4000.03, AGRI 5630.03, or equivalent