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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 Jana.Anderson@colostate.edu or by phone at (970) 491-7454 for information about this course.

This course requires proctored exams. Details will be provided in the course syllabus.

This course can be applied toward:

Prerequisite

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.

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 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.

Textbooks and Materials

No textbook required. Uses R and SAS software.

Instructors

Jana Anderson
Jana Anderson

(970) 491-7454 | anderson@stat.colostate.edu

Jana Anderson is a professor in the Department of Statistics at Colorado State University. She is the director for the Master of Applied Statistics Program and also directs the Statistics Department’s certificate programs and online learning program. She joined the Statistics faculty in 1994, having earned her bachelor’s degrees from Southern Methodist University and her MS and PhD degrees from Colorado State University. Her interests include statistics/data science education and teaching with technology. Her recent contributions have involved developing a data science specialization for the Master of Applied Statistics degree program, as well as developing graduate level service courses in specialized areas.

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