Instructor:
Professor Brian Yandell
Lectures: 1207 CSSC, 1-2:15 MW
Office and Phone: 4367 CSSC, 262-1157
Office Hours: 2:15-3:30 MW or by appointment
Email: yandell@stat.wisc.edu
Course Homepage: http://www.stat.wisc.edu/~yandell/st850/
Class email: stat-850@lists.students.wisc.edu
Teaching Assistant:
Jun Yan
Discussion: Section311: 1207 CSSC, 1-2:15pm F
Office and Phone: 4252 CSSC, 262-7478
Office Hours: 2-3 TR (tentative)
Email: jyan@stat.wisc.edu
Course Syllabus:
Course Objective
Assignments
Grading
Prerequisites
Requirement and Schedule:
Weekly Schedule
Readings
Texts
Supplemental Materials:
Course Data Repository: ~st850-1/data/
Practical Data Analysis (PDA) Book Information and Your Comment for PDA
PDA Data Sets
Case Studies for the SSC 2000 Annual Meeting in Ottawa
R/S/Splus Information
SAS Information
Develop skills for data analysis of designed experiments. Topics emphasized include design
and treatment structures; theory of inference for analysis of variance; one-way and multi-way
layouts; analysis of covariance; fixed, random and mixed effects models; split-plot, nested
designs and repeated measures designs. Approach combines a grounding in theory with applica-
tion to many practical settings.
This course has a large homework load, with heavy use of computers. Students are expected to
remain current on reading. One midterm and one final will be given as take-home exams along
the lines of the masters exam.
Half the grade (50%) is based on homework, the other half split between the midterm (25%) and
the final (25%). Improvement over the semester is viewed favorably in grading.
Stat 849 or consent of instructor. Students are expected to be familiar with standard dis-
tributions (normal, t, chi-square, F) and to have a working knowledge of the departmental
computing system, including use of a statistical package such as Minitab, or ideally SAS and
S-Plus.