Introduction to Design of Experiments

Catalog description

Introduces experimental design methods and appropriate analysis for design data, including completely randomized, blocked (fixed effects and random effects models), Latin Square, split-plot, strip-plot, nested, and repeated measures designs. Analyses of real data to illustrate concepts; use of appropriate statistical models and results interpretation. Discipline-specific writing and communication is taught and emphasized. Course overlaps with: STAT 421. Prerequisite: a minimum grade of 2.0 in either TMATH 210 or TMATH 390.