Lecture—3 hour(s); Lecture/Discussion—2 hour(s). Prerequisite(s): STA 100; ASE 120; or an introductory course in statistics. Simple linear, multiple, and polynomial regression, correlation, residuals, model selection, one-way ANOVA, fixed and random effect models, sample size, multiple comparisons, randomized block, repeated measures, and Latin square designs, factorial experiments, nested design and subsampling, split-plot design, statistical software packages. (Letter.) Effective: 2000 Spring Quarter.