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.
Prerequisite(s)
- One of Statistics 217, 323, 327, Data Science 305, Engineering 319, Psychology 300, 301, 312, or Sociology 311.
SyllabusSections
This course will be offered next in
Winter 2022.