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 Jana.Anderson@colostate.edu or by phone at (970) 491-7454 for information about this course.
This course can be applied toward:
STAA 551 (Regression Models and Applications) or STAT 540 (Data Analysis and Regression); STAA 562 (Mathematical Statistics with Applications) or STAT 530 (Mathematical Statistics) or written consent of instructor. This is a partial-semester course.
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 firstname.lastname@example.org. 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.
Jana Anderson is an associate professor and the director of the Online Learning and Master of Applied Statistics programs in the Department of Statistics at Colorado State University. Prof. Anderson joined the Department of Statistics in 1994. She is a member of the American Statistical Association and is active in the Statistical Education Section. She received her Ph.D. in Statistics from Colorado State University.