Course notes.

• Table of Contents.

• (1) Introduction and (2) Experiments with a single factor.

• (3) Randomized complete block designs (RCBDs).

• (4) Other designs with blocking.

• (5) Factorial designs.

• (6) Designs with split plots.

• (7) Designs with nested effects.

• (8) Lack of fit and multicollinearity in regression models.

• (9) Two-level factorial designs.

• (10) Two-level fractional factorial designs

• (11) Introduction to response surface methodology.

• (12) Response surface designs.

• (13) Analysis of Response Surface Data.

• (14) Design optimality.

• (15) Introduction to experiments with mixtures.

• References.

Articles to Review

• Article #1.

• Article #2.

R References.

• Introduction to R-Commander (see last page for installation).

• More R-Commander information.

• Reference to common R commands.

R Examples.

• R Handout #1.

• R code for Handout #1.

• R data set for Handout #1.

• R code for example with run order trend.

• R data set for example with run order trend.

• Complete article from Assignment #4.