STA 6208 – Basic Design &Analysis of Experiments

Spring 2012 – Section 0015

MWF 2 @ Floyd 100

Instructor: Dr. Larry Winner

Office: 228 Griffin/Floyd

E-mail: winner@stat.ufl.edu

Phone: (352) 273-2995

Web Page: www.stat.ufl.edu/~winner/

Textbook Information:

Title: Design of Experiments: Stat Prin etc ISBN: 9780534368340 Type: Book Author: Kuehl Edition: 2nd Copyright: 2000 Publisher: Cengage Learning

Tentative Exam Dates/Times & Homework (Pending 6327 and 2023 exams):

· Exam 1 – February 10, 7:30-9:20AM (25%)

· Exam 2 - March 21, 7:30-9:20AM (25%)

· Final Exam – May 1, 3:00-7:00PM (30%)

· Homework Projects – Approximately 8 (20%)

Course Policies:

· Prerequisite: STA 6207.

· Turn off cell-phones and all electronic devices (except calculators) during class and exams.

· Exams are closed-book/notes. Any relevant tables will be supplied.

· E-mail is a terribly inefficient way to teach statistics. If you’d like to see a particular problem worked out in class, send a request in advance. Do not expect a typed detailed response. E-mail is not a substitute for attending instructor and TA office hours.

· Note: Some course topics listed below were covered in STA 6207 and will be assumed without full “treatment”.

· Most Computing will be done using SAS or R. When feasible, many examples will be done in spreadsheet format for illustration of principles.

· All grades are final and not negotiable.

Tentative Course Topics:

· Introduction to Experimental Design (Chapter 1)

· Randomization and Design (Chapter 1)

· Completely Randomized Design (Chapter 2)

· Treatment Comparisons (Chapter 3)

· Checking Model Assumptions* (Chapter 4)

· Random Effects Designs (Chapter 5)

· Factorial Designs (Chapter 6)

· Random, Mixed, and Nested Effects Designs (Chapter 7)

· Complete Blocks and Latin Squares (Chapter 8)

· Balanced Incomplete Block Designs (Sections 9.1-9.4)

· Full and Fractional Two-Level factorials (Sections 11.1-11.4,12.1-12.5)

· Analysis of Covariance (Sections 17.1-17.2)

· Split-Plot Designs (Sections 14.1-14.5)

· Repeated Measures Designs (Section 15.1-15.5)

· Crossover Designs (Sections 16.1-16.3)