University of Calgary

STAT 425 - Statistical Design and Analysis of Experiments - Winter 2018

Introduction to the design of experiments and the statistical analysis of data. Analysis of variance in the response variable and adequacy of the model. Multiple comparison methods. Extensions to completely randomized block, latin-squares, and factorial experimental design. Introduction to nested and split-plot design, with emphasis on statistical software usage.
This course may not be repeated for credit.

Hours

  • H(3-3)

Prerequisite(s)

  • Any one of Statistics 217, 323, 327, Engineering 319, Psychology 312, Sociology 311; or consent of the Department.
Syllabus

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