Math 588: Data analysis

Syllabus
My schedule
Homework list

Data from the book

R website
Book website

Michael Lavine "Introduction to Statistical Thought" can be downloaded here

Week
M
W
1
-
Class 1   Ch1. Drawing statistical conclusions
Homework 1
2
Class 2   Ch2. t-tools
Class 3   Ch2. t-tools
Introduction to R
3
Labor Day
Class 4   Ch3. t-tools: assumptions   Hw2
4
Class 5   Ch4. Alternatives for t-tools
Class 6   Ch4. Alternatives for t-tools   Hw3
5
Ch5. ANOVA
Class 8   Ch5. ANOVA
Hw4
6
Class 9   Ch5. ANOVA
Class 10   Ch5/6. ANOVA
Hw5   An R-based ANOVA manual
7
Class 11   Ch6. ANOVA
Class 12   Ch7. Regression
Hw6  
Class 13   Ch7. Regression (confidence and prediction intervals)
8
Class 14   Ch8. Regression: assumptions
Class 15   Ch8. Regression: lack of fit
Hw7   Anomaly data set
9
no class (office hours are valid!)
no class (office hour moved to 12:30-1:20)
10
Class 16   Ch9. Multiple Regression
Class 17   Ch10. Multiple Regression
Hw8
11
Class 18   Ch10. Multiple Regression/ Review
In-class exam (Chapters 1- 10)
12
Class 20   Ch11. Multiple Regression: influence
Class 21   Ch12. Multiple Regression: variable selection
Hw9
13
Class 22   Ch12. Multiple Regression: variable selection
Class 23   Weighted Least Squares regression.
Takehome
14
Class 24   Time series examples (~Ch15)
Class 25   Generalized Least Squares
15
Class 26   Principal components
Class 27   Principal components
16
Student Projects
Student Projects
Student Projects: Weir 209, 2pm-4pm

Maintained by Oleg Makhnin olegm@nmt.edu