Stat 507 - Experimental Design
Instructor: Chris Williams, Room 414 Brink Hall Phone: 885-2802
Meeting times: MWF 12:30-1:20 TLC 249
Prerequisites: Stat 431 or equivalent coursework.
Office Hours: MWF 1:30-2:20 or by appointment.
Texts: Design of Experiments: Statistical Principles of Research Design and
Analysis (second edition) -
Robert O. Kuehl
The webpage will contain announcements, summaries of lectures,
lists of assignments, and other information.
Objectives: Define quantitatively the most efficient ways to
obtain knowledge from experiments with differing constraints for
plot size, number of treatments, classes of experimental
objectives and blocking procedures in terms of the general linear
model. Develop a quantitative, defensible strategy for
Lecture Outline - We will cover most of the material in the text, to be detailed
in the lecture schedule.
1. Be able to distinguish between common experimental designs such as Completely
Randomized, Randomized Block, Completely Randomized Factorial, Latin Square,
Confounded Block Designs, Fractional Factorial Designs, Repeated Measures
Designs, Split-Plot and related designs, and Analysis of Covariance Designs.
2. Understand the issues involved in choosing between common experimental
3. Be able to analyze data arising from common experimental designs.
4. Understand the use of response surface methods to identify important factors
and settings for those factors to yield optimal responses.
We will primarily use the SAS computer package, but we will usually also have R
code available. We will use Blackboard discussions as an additional way to give
comments and ask questions.
Grading: Exams are 90% of the grade, the project is 10% of the grade. There will
be five exams. Three of them (second, fourth, and fifth) have both take-home and
in-class parts, while the other two (first and third) are take-home only. The final
(fifth) exam is on Tuesday, December 12 at 12:30
pm. The value of each exam is 13%, 24%, 14%, 24%, and 15%, respectively, toward
the 90% total exam weight. Each exam will be preceded by a
review session based on previously assigned homework problems.
Academic Honesty: You should be aware policies of the University of Idaho concerning academic honesty (see Article II of the Student Code of Conduct). Breaches of academic honesty will not be tolerated and will result in an F for the course and referral to the Dean of Students for further disciplinary action.
Disability Support Services Reasonable Accommodations Statement: Reasonable accommodations are available for students who have documented temporary or permanent disabilities. All accommodations must be approved through Disability Support Services located in the Idaho Commons Building, Room 306 in order to notify your instructor(s) as soon as possible regarding accommodation(s) needed for the course. Phone: 885-6307, email at
email@example.com , website at
University of Idaho Classroom Learning Civility Clause: In any environment in
which people gather to learn, it is essential that all members feel as free and
safe as possible in their participation. To this end, it is expected that
everyone in this course will be treated with mutual respect and civility, with
an understanding that all of us (students, instructors, professors, guests, and
teaching assistants) will be respectful and civil to one another in discussion,
in action, in teaching, and in learning.
Should you feel our classroom interactions do not reflect an environment of
civility and respect, you are encouraged to meet with your instructor during
office hours to discuss your concern. Additional resources for expression of
concern or requesting support include the Dean of Students office and staff
(885-6757), the UI Counseling & Testing Center’s confidential services
(885-6716), or the UI Office of Human Rights, Access, & Inclusion (885-4285).