University of Minnesota

School of Statistics


    Statistics 5303
    Designing Experiments

    Spring 2005


    In this course we discuss proper design and analysis of experiments, including the role of randomization, selecting sample sizes, allocating treatments to experimental units. Designs covered include completely randomized designs, designs with factorial treatment structure, random and mixed effects, complete and incomplete blocked designs, Latin Squares, confounding, split plots, fractional factorials, and response surfaces. Examples and exercises are taken from a broad range of subject areas. The emphasis in this course will be on design, not analysis.

    Please consult the class syllabus for more information.

    All homework assignments are posted on the assignments page.

    Many classes are illustrated with handouts. If you miss class, you can get copies of the handouts from the handouts page. This page also gives the class exams and their solutions.

    Many course materials are available in "Portable Document Format" (PDF), which can be viewed and printed by using Acrobat Reader software. Versions of Acrobat Reader for most computing platforms may obtained for free from Adobe Inc.


    S. Weisberg
    sandy@stat.umn.edu

    Last modified January 10, 2005.