| Date | Sections covered and skipped; other topics covered |
Material from class lectures and discussion (posted when covered) | Assignment and Date Due |
| Fri Sept 29 | NO DISCUSSION SECTIONS TODAY | | |
| | | | |
| Mon Oct 2 | Introduction and start Chapter 0 | Lecture 1 slides (as a pdf file, 6 to a page) | |
| Wed Oct 4 | Finish Chapter 0; Sections 1.1, 1.2 | Lecture 2 slides or Compact version | Homework assignment #1, due Wed, Oct 11 |
| Fri Oct 6 Disc | Introduction to R and R Studio |
Notes for Oct 6 discussion in html, and in pdf |
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| | | | |
| Mon Oct 9 | Sections 1.3 to 1.5 | Lecture 3 slides or Compact version | |
| Wed Oct 11 | Review hypothesis testing, confidence intervals and distributions; Section 2.1 | Lecture 4 slides or Compact version
R code and results for Highway sign-reading example |
Homework assignment #2, due Wed, Oct 18 | |
| Fri Oct 13 Disc | R for Regression (plots, linear models, etc) |
Notes for Oct 13 discussion in html, and in pdf | |
| | | | |
| Mon Oct 16 | Sections 2.2 and 2.3 |
Lecture 5 slides or Compact version
Skin cancer example
| |
Wed Oct 18 | Confidence and prediction intervals, Section 2.4 | Lecture 6 slides or Compact version
Highway sign example showing CI and PI commands and results | Homework assignment #3, due Wed, Oct 25 |
| Fri Oct 20 Disc | More R for Regression; Question and Answer |
Notes for Oct 20 discussion in pdf | |
| | | | |
| Mon Oct 23 | Sections 3.1 and 3.2 | Lecture 7 slides or Compact version | |
| Wed Oct 25 | Section 3.3 and Section 3.6 as applied to material in 3.3 | Lecture 8 slides (in color) or Compact version (in black and white) |
Homework assignment #4, due Mon, Oct 30
Pulse data for this assignment is part of the Stat2Data library | |
| Fri Oct 27 Disc | Midterm review |
Review for Midterm | |
| | | | |
| Mon Oct 30 | Section 3.5; More about ANOVA (not in book) | No lecture slides today - on white board, and these 2 examples:
Multicollinearity example and Example of why order matters | |
| Wed Nov 1 | MIDTERM EXAM (covers through Fri, Oct 27) | | No homework this week | |
| Fri Nov 3 Disc | More about R for multiple regression |
Notes for Nov 3 discussion in html, and in pdf
Salary data
| |
| | | | |
| Mon Nov 6 | Section 3.4 and finish Section 3.6 | Lecture 11 slides in color or
in black and white or Compact version |
Homework assignment #5, due Wed, Nov 15 (covers 10/30 and 11/6 lectures)
Exercises 3.23 to 3.26 from book (in case you don't have the book)
|
| Wed Nov 8 | Section 4.2 (Skip 4.1) | Lecture 12 slides or Compact version
Best Subsets Real Estate Example | | |
| Fri Nov 10 Disc | Veterans' Day Holiday - no class | | |
| | | | |
| Mon Nov 13 | Sections 1.5 and 4.3 | Finish Lecture 12 first.
Lecture 13 slides or Compact version
Case diagnostics for the real estate example
Case diagnostics in R |
Homework assignment #6 for Stat 110 students only;
Hmwk6 data for Stat 110 as txt file or as Excel file
Homework assignment #6 for Stat 201 students only;
StateSAT data for Stat 201 as txt file or as Excel file
Description of State SAT data
Both due Wed, Nov 22 (covers 11/8 and 11/13 lectures) | |
| Wed Nov 15 | R for creating and comparing models; variable selection methods in R |
R code for Nov 15 lecture in html, and in pdf
County Demographic Information (CDI) data | |
| Fri Nov 17 Disc | Case diagnostics in R; Regression hypotheses stated as models |
Notes for Nov 17 discussion, pdf only | |
| | | | |
| Mon Nov 20 | Start Chapter 5 | Lecture 15 slides or Compact version
GPA and seat location example
Party Days and seat location example |
|
| Wed Nov 22 | Continue Chapter 5; Section 7.2 | Lecture 16 outline (Lecture on the white board)
Party Days and seat location example (Continued from last time) | Homework assignment #7, due Wed, Nov 29 | |
| Fri Nov 24 | Thanksgiving Holiday - no class | | |
| | | | |
| Mon Nov 27 | Chapter 6 | Lecture 17 slides or Compact version
Two factor ANOVA Example
| | |
| Wed Nov 29 | Other topics in analysis of variance (unbalanced two-factor, random effects, nested factors, repeated measures) | Lecture 18 slides or Compact version
ANOVA scenarios for discussion and Answers (posted after class) | Homework assignment #8, due Dec 6 |
| Fri Dec 1 Disc | R for analysis of variance; comparing lm, anova and aov |
Notes for Dec 1 discussion, pdf only | |
| | | | |
| Mon Dec 4 | Sections 4.4, 7.5 and 7.6 (Analysis of covariance) |
Lecture 19 outline; Lecture will be on white board
Analysis of covariance example |
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| Wed Dec 6 | Analysis of variance with more than two factors; Review for final exam |
Review for final exam
| |
| Fri Dec 8 Disc | Final exam review, questions and answers | |
| | | | |
| Mon Dec 11 | Lecture B Final Exam, 1:30 to 3:30pm | | |
| Wed Dec 13 | Lecture A Final Exam, 8:00 to 10:00am | | |
Class Time
Syllabus and other information