PORTLAND STATE UNIVERSITY
Fariborz Maseeh Dept of Mathematics & Statistics

STAT4/565 Experimental Design I: Theory and Method
(3 credits, effective Winter 2012)

About half of the term will be used for the remainder of the regression analysis techniques. The other half of the term and the spring term will cover the following topics: A theoretical and applied treatment of experimental design; analysis of variance, fixed effect models, random effects models, checking model adequacy; block designs, Latin squares, related designs; incomplete designs; factorial designs, confounding two-level designs, split-plot designs; fractional factorial designs; nested designs; relation to regression analysis; analysis of covariance. Applications can be found in medical studies, science, engineering, and business among others. Substantial statistical computing is required. Computing Lab is located at 465 NH.

Prerequisites: STAT 4/564 or consent of instructor.

* If you have a disability and are in need of academic accommodations, please notify me (the instructor) immediately to arrange needed supports.

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Instructor: Prof. Jong Sung Kim
M307 NH
5-3657
jong@pdx.edu

Office Hours: 11:20am to 12:10pm, MW or by appointments

Chairman: Prof. Peter Veerman
343 NH
5-3630

Textbook: For the first five weeks, we use "Introduction to Linear Regression Analysis, 4th ed." by Montgomery, Peck, and Vining.

For the rest of the term we use "A First Course in the Design of Experiments" by Donald Weber and John Skillings.

References:

• "Design and analysis of experiments" by Douglas C. Montgomery. (QA279 .M66 1984)
• "Statistical Design & Analysis of Experiments with Applications to Engineering and Science, 2d ed." by Mason, Gunst, and Hess.
• "The design of experiments: statistical principles for practical applications" by R. Mead. (QA279 .M388 1988)
• "Statistics and experimental design: an introduction for biologists and biochemists" by Geoffrey M. Clarke. (QH323.5 .C56 1994)
• "Biostatistics: experimental design and statistical inference" by James F. Zolman. (QH323.5 .Z64 1993)
• "Applied Linear Regression Models, 3rd ed." by Neter, Kunter, Nachtscheim, and Wasserman.
• "Applied Regression Analysis, 2nd ed." by Weisberg. (QA278.2, .W44, 1985.)
• "Probability and Statistical Inference, 6th ed." by Hogg and Tanis. (QA273 .H694 1983, 2nd ed.)
• "Introduction to Mathematical Statistics, 5th ed." by Hogg and Craig. (QA276 .H59 1995)

Statistical Software and Lab: SAS is recommended but others such Minitab, R, S, SPSS, GAUSS, MATLAB are fine. The departmental computer Lab is located at 465 NH. It has a number of statistical software including most of the above listed. For Lab hour information, see the URL http://www.mth.pdx.edu/student_resources/labhours.asp

Reading Assignments: Reading assignments from the text will be made at the beginning of lecture.

Homework: Assignments must be turned in by the beginning of class on the day they are due. A late homework will not be accepted unless there is a prior arrangement.

HW1Key HW2Key HW3Key

My data

Handout

Course Grade

HW: 30%

Midterm (project):30%

Final 40%: Tue 8:00 - 9:50