STA
6208 – Basic Design &Analysis of Experiments

Spring
2011 – 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
4, 7:30-9:20AM (25%)

·
Exam 2 - March 18,
7:30-9:20AM (25%)

·
Final Exam -
April 26, 5:30-7:30PM (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.

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)