I. Statistical Thinking in Experimental Design

A. Framework for Statistical Thinking and Scientific Method

B. Strategy of Experimentation

C. Simple Comparative Experiments

D. Fundamental Design Concepts

II. Fundamentals of Analysis: Single Factor Designs

A. Design Models

B. Completely Randomized Single Factor Designs

1. Analysis of Variance (ANOVA)

2. Overall Test of Significant Differences

3. Comparison Among Treatment Means

4. Model Adequacy Checking

5. Non-normal Data: Transformations and Nonparametric Methods

C. Dealing with the Effects of Nuisance Factors

1. Blocking Designs

2. Concomitant Variables

III. Designs for Process/Product Characterization

A. Multiple Factors and Factorial Design Structure

B. Screening Designs

1. Two Level Designs

2. Fractional Factorial Designs

A. Quantitative Factors and Regression Models

B. Response Surface Designs and Models

A. Nested Designs and Models (Components of Variance)

B. Factorial Experiments with Random Factors

VI. Advanced DOE (optional 5th day)

A. Expected Mean Squares

B. General Linear Model

C. Mixed Models (Fixed and Random Effects)

D. Nested-Factorial Designs and Mixed Models

E. Constraints on Randomization: Split Plot Designs