Statistical Design and Analysis of Experiments

3 credits · Undergraduate Programs

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. Prerequisite(s): 3 units from Statistics 217, 323, 327, Data Science 305, Engineering 319, Digital Engineering 319, Psychology 300, 301, 312, or Sociology 311.