ST 302 Design of Experiments

Time and Place:

Monday, Wednesday: 10:00-10:50, B2 Engineering

Friday: 10:00-10:50, 206 Weber (computer lab)

Instructor:

F. Jay Breidt, Ph.D., Professor of Statistics

201 Statistics Building, (970)-491-6786, FAX: (970)-491-7895

jbreidt@stat.colostate.edu , http://www.stat.colostate.edu/~jbreidt /st302/

Office hours: MWF 2:00-3:00 or other times by appointment (email works well for scheduling an appointment or getting a quick answer).

Prerequisite: ST/STCC 301, 307, or 309; or EH/EHCC 307; or ST311. Assumed background is elementary probability (including theory for binomial, normal, Student’s t, chi-square, and F distributions) and basic statistical inference (including confidence intervals, hypothesis tests, linear regression and correlation, and one-way analysis of variance).

Required Text: Design of Experiments: Statistical Principles of Research Design and Analysis, 2^nd edition, by Robert O. Kuehl.

Software for the course: SAS will be used for class examples, though you are welcome to use other software if it has the same capabilities.

Handouts: Supplementary notes may be posted on the web.

Topics:

• Principles of experimental design.
• One-way classification; multiple comparisons.
• Multi-way classifications: blocking, Latin square.
• Factorial designs.
• Split-plot and related designs.
• Analysis of covariance.

Grading:

Homework and quizzes 25%, Midterms 40%, Final 35%

Calendar Notes:

Midterm 1: Friday, September 27 (tentative)

Midterm 2: Friday, November 8 (tentative)

Thanksgiving break: November 25 – November 29

Final exam: Monday, December 16, 11:20am-1:20pm