STAT22200 Linear Models And Experimental Designs

Spring 2021

Please note that the official course website is on Canvas (log in with CNetID), NOT here. This webpage is for those who are interested in STAT 22200 to get an idea of what the course is like.

Click here to view the older STAT 222 webpage for Spring 2019.

Prerequisites

STAT 22000 or 23400 with a grade of at least B-; or 24500, 24510, or PBHS 32100, or AP Statistics credit, or equivalent. and two-quarters of calculus (MATH 13200, 15200, or 16200 or above).

• STAT 22200 counts as a List B elective for the Statistics major and an elective for the Statistics minor

Course Description

This course covers principles and techniques for the analysis of experimental data and the planning of the statistical aspects of experiments. Topics include linear models; analysis of variance; randomization, blocking, factorial designs; confounding; and incorporation of covariate information.

Textbooks

• Primary Textbook: A First Course in Design and Analysis of Experiments (Oehlert, 2000) Available online for free at http://users.stat.umn.edu/~gary/Book.html by the courtesy of the author, Professor Oehlert.
• Another great textbook for STAT 222: Design and Analysis of Experiments by Angela Dean, Daniel Voss, and Danel Dragulji'c
• A highly recommended book on Applied Statistics and Data Analysis: Statistical Sleuth (3rd edition) by Ramsey & Schafer This book is a bible on data analysis, covering contents in STAT 222, 224 and 226.

Course Schedule and Slides

Week/Date	Topic and Slides	Textbook Coverage
Week 1 – Mar. 29, 31	One-Way ANOVA (Multi-Sample Problems)	Section 3.1-3.8
Week 1&2 – Apr. 2,5	Pairwise Comparison and Contrasts	Section 4.1-4.2
Week 2 – Apr. 7, 9	(A Review of) Multiple Linear Regression	-
Week 3 – Apr. 12, 14	Experiments with Quantitative Factors, Goodness of Fit (Dose Response Modeling)	Section 3.9
Week 3 – Apr. 14, 16 Week 4 – Apr. 19	Model Assumption Checking and Remedies	Chapter 6
Week 3 – Apr. 14-15	Quiz 1	–
Week 4 – Apr. 19, 21, 23	Permutation- and rank-based methods for two-sample, one-way ANOVA data, and matched-pair data	Chapter 2
Week 4 – Apr. 23 Week 5 – Apr. 26, 28	Two-Way Factorial Designs	Section 8.1-8.6
Week 5 – Apr. 30	Midterm Exam. No Class	-
Week 6 – May 3, 5	General Factorial Designs	Section 8.7-8.11
Week 6 – May 7	Quantitative Factors	Section 9.2.3
Week 7 – May 10	Unbalanced Factorial Data	Section 10.1
Week 7 – May 12, 14 Week 8 – May 17	Randomized Complete Block Designs, (Replicated) Latin Square Designs, Graeco-Latin Square Designs	Section 13.1-13.4
Week 7 – May 14-15	Quiz 2	–
Week 8 – May 19, 21	Balanced Incomplete Block Designs (BIBD)	Section 14.1
Week 8 – May 21 Week 9 – May 24, 26	Multiple Comparisons	Chapter 5
Week 9 – May 28	Block Designs w/ Factorial Treatments