Stat 407/507 - Experimental Design
Instructor: Chris Williams, Room 414 Brink Hall Phone: 885-2802
or 885-6742
Meeting times: MWF 12:30-1:20 TLC 223
Prerequisites: Stat 431 or equivalent coursework.
Office Hours: MWF 1:30-2:20 or by appointment.
email: chrisw@uidaho.edu
Texts: A First Course
in Design and Analysis of Experiments -
Gary W. Oehlert from the University of Minnesota. This book is freely available
under a Creative Commons License.
Webpage: http://www.webpages.uidaho.edu/~chrisw/stat507live/
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
experimentation.
Lecture Outline - We will cover most of the material in the text, to be detailed
in the lecture schedule.
Learning Outcomes:
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
designs.
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 use both the SAS and R computer packages, code will be available for
both on the lecture schedule. Either choice will work fine for the course. We will use Blackboard discussions as an additional way to give
comments and ask questions. Code examples for both SAS and R are listed on the
lecture page. Other code examples are available on last year's lecture page:
http://www.webpages.uidaho.edu/~chrisw/stat507live/lecture507y17.htm , and
further SAS and R examples, with a few Python examples are available on my
lecture page for Stat 431:
http://www.webpages.uidaho.edu/~chrisw/stat431/lect431su18.htm .
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.
Students in the Stat 407 course can drop one exam in calculating the course
grade.
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
dss@uidaho.edu , website at
www.uidaho.edu/dss .
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).