EXPERIMENTAL DESIGN AND ANALYSIS

ME/STAT 424

Introduction to statistical design and analysis of experiments. Topics include: principles of randomization, blocking and replication, randomized blocking designs, Latin square designs, full factorial and fractional factorial designs and response surface methodology. Substantial focus will be devoted to engineering applications.

PLANTSCI 299

Research work under direct guidance of a Plant and Agroecosystem Sciences faculty or instructional academic staff member. Students are responsible for arranging the work and credits with the supervising instructor.

PLANTSCI 772

Development of models, programs, inferences, and interpretations of analysis of variance in biological research; mixed models and their development; choosing the correct inference range; variance and covariance analyses; repeated measures; dealing with missing data.

PLANTSCI 699

Independent research guided by a Plant and Agroecosystem Sciences faculty or instructional academic staff member. Students are responsible for arranging the work and credits with the supervising instructor.

ANSCI 865

Experimental design and proper data analysis are critical processes for scientific research. Planning and performing research studies have statistical implications that influence how results are interpreted. Learn the fundamentals of generalized linear models, experimental design, and data analysis using common examples from biological studies.