Select one of the options below:
Analysis of variance, covariance, randomized block, latin square, split-plot, factorial, balanced, and unbalanced designs; applications to agriculture and biosciences; and implementation in SAS and R.
Students may contact Kirsten Eilertson (Kirsten.Eilertson@colostate.edu) for information about this course.
STAA 551 (Regression Models and Applications) or STAT 540 (Data Analysis and Regression); STAA 562 (Mathematical Statistics with Applications) or STAT 530 (Mathematical Statistics); Graduate standing. Written consent of instructor.
Tuition includes access to lecture recordings which are available by streamed video. Lecture recordings may also be available by download or on DVD. To determine viewing options, contact the Department of Statistics degree program staff at stats_ddp@mail.colostate.edu. Visit the Department of Statistics website to learn more about what to do after registration, including creating your eID (if necessary) and accessing your course.
No textbook required. Uses R and SAS software.
9704915077 | hess@stat.colostate.edu
Dr. Hess earned her Ph.D. in Statistics from CSU in 2005. Her areas of interest include bioinformatics, experimental design, linear models and statistical consulting.