Class Notes



Jan. 21: Planning an experiment, terminology
Jan. 23: Terminology, sources of variation
Jan. 26: Terminology, CRD/RCBD
Jan. 28: Terminology
Jan. 30: Terminology, crossed vs. nested
Feb.2: Randomizing
Numerical summaries, dot plots
Feb.4: Alignment, nonparametric tests
Feb.6: Nonparametric tests
Feb.9: Model, model notation
Additive model estimates, balanced design
Feb.11: Model with interaction, estimates
SAS:litter/daylength
SAS:animal fattening
Feb.13: Cell means and effects model, assumptions
Feb.16: 1-way & 2-way ANOVA table, F-tests, SAS example
Feb.18: Modeling trends, SAS examples
Feb.20: Contrasts
Feb.23: Orthogonal contrasts, SAS example
Polynomial contrasts
Feb.27: Multiple comparisons, multiple testing
March 2: Multiple comparisons, multiple testing
March 4: Multiple comparisons, multiple testing, FDR
March 6: FDR     [slides for class]
March 9: Power and sample size
March 11: Power and sample size
March 13: ANOVA factorial structure

Spring Break
March 23: General factorial, 2-way ANOVA with no reps
Tukey 1 d.f. test for nonadditivity
March 25: Unbalanced factorial, types of SS
March 27: More on unbalanced factorial
March 30: Random effects, EMS, estimating variance components
April 6: More random effects, EMS from SAS, F-tests
April 8: Nested designs, mixed models
April 13: [Lenth handout on EMS]   Intro to Lenth diagrams
April 15: Length diagrams, rules for EMS
April 20: Approximate F-tests, split-plot designs
April 22: Blocking, RCBD
April 24: Latin square designs
SAS examples
April 27: Correlation structures, repeated measures
May 4: More repeated measures
BIBD
May 6: More BIBD
May 8: More BIBD