STAT 424 Fall 2021
The official syllabus, which gives requirements, learning objectives, and grading mechanisms, is available here. This website only includes links to the reading and lecture content – the course structure is mapped out fully on the Canvas homepage.
Readings refer to the 10th edition1 of Design and Analysis of Experiments by Douglas Montgomery
Week | Topic | Reading |
---|---|---|
1 |
Basic principles & examples | 1.1 - 1.4 |
2 |
Sampling distributions, difference in means, pairing | 2.1 - 2.5 |
3 |
ANOVA, model checking, multiple comparisons | 3.1 - 3.5 |
4 |
Computer examples, random effects, nonparametric approaches | 3.6 - 3.11 (except 3.10) |
5 |
Randomized complete block design, Latin Squares design | 4.1 - 4.3 |
6 |
Balanced incomplete block designs, and Factorial Design Intro | 4.4.1, 5.1 - 5.2 |
7 |
Two and general factorial design, intro to response curves | 5.3 - 5.5 |
8 |
Intro to \(2^k\) designs | 6.1 - 6.4 |
9 |
Examples of \(2^k\) designs | 6.5 - 6.6 |
10 |
Properties of \(2^k\) designs, fractional factorial designs | 6.7 - 6.9, 8.1 - 8.2 |
11 |
More fractional factorial designs | 8.3 - 8.7 (except 8.5) |
12 |
Response surfaces | 11.1 - 11.4.2 |
13 |
More response surfaces | 11.4.3 - 11.6 |
14 |
Nested and split plot designs | 14.1 - 14.4 |
Notes are listed here. Source code and links to recorded videos are listed at the top of each set of lecture notes.