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STAA 553 - Experimental Design

  • 2 credits

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 ( 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.

Important Information

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 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.

Textbooks and Materials

No textbook required. Uses R and SAS software.


Ann Marie Hess
Ann Marie Hess

9704915077 |

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.