Methods of data analysis

Lectures MWF 1000-1050 WGND 115
Labs Milne Computing Center 201
M 1200-1250
M 1400-1450
M 1700-1750
T 1100-1150
T 1300-1350
T 1600-1650

Instructor: Charlotte Wickham, 255 Weniger
charlotte.wickham@stat.oregonstate.edu

Office hours/Help Sessions
Mondays 11-11:50am Weniger 255
Thursdays 3-4:50pm Cordley 3003

TA’s
Ben Brintz brintzb@science.oregonstate.edu
Spencer Ledoux ledouxsp@onid.oregonstate.edu
Shaoshan Liao liaosh@onid.oregonstate.edu
Chris Comiskey comiskec@onid.oregonstate.edu

TA office hours: All in Kidder M111
Kidder M111 Schedule

Week 0 Intro & Syllabus

• Sep 25. Welcome
  • Read me by Monday 28 Sep!

Week 1 Review

Reading: Sleuth: 1.1, 1.2 & 1.5

• Sep 28. Random Sampling Model
  • Doc cam notes
• Sep 30. More Random Sampling Model
  • Doc cam notes
• Oct 2. One sample t based confidence interval

Week 2 The t-tools

Reading: Sleuth: 2.1 & 2.2 (Optional: OpenIntro 5.3)

• Oct 5. Statistical Testing
• Oct 7. Paired t-test
• Oct 9. Some R
  • Subsetting R code
  • Plotting R code

Week 3 More t-tools

Reading: Sleuth: 1.3, 2.3, 2.4 & 2.5 (Optional: OpenIntro 5.4)

• Oct 12. Two sample t
  • Worked OpenIntro example
  • R version of OpenIntro example
• Oct 14. Randomization
• Oct 16. Randomization test

Week 4 Assumptions

Reading: Sleuth 3.1 - 3.5

• Oct 19. T-tools assumptions
• Oct 21. More assumptions and outliers
• Oct 23. Log transform

Week 5 Alternatives to the t-tools

Reading: Sleuth 4.1 - 4.4

• Oct 26. Wilcoxon Rank Sum
  • Test summary worksheet
• Oct 28. Other two sample procedures
• Oct 30. Sign tests

Week 6 Multiple groups

Reading: Sleuth 5.1, 5.2 & 5.3

• Nov 2. Multiple groups
  • R code
• Nov 4. One way ANOVA
  • R code
  • Doc cam
• Nov 6. Extra SS F-test
  • One way ANOVA table
  • Other ANOVA tables

Week 7 ANOVA

Reading: Sleuth 5, 6.1, 6.2, 6.3 & 6.4

• Nov 9. Anova assumptions
  • R code
  • R code for age example
  • One way ANOVA practice - Disability
  • One way ANOVA practice - Fish
• Nov 11. Veteran's Day No lecture
• Nov 14. Linear Combinations of means
  • Doc Cam
  • R code

Week 8 Multiple Comparisons, Linear Regression

Reading: Sleuth 6.3, 6.4 & 7.1, 7.2, 7.3

• Nov 16. Multiple Comparisons
• Nov 18. Linear Regression
• Nov 20. Least squares

Week 9 Linear Regression

Reading: Sleuth 7

• Nov 23. Inference
  • R code
• Nov 25. Assumptions
• Nov 27. Happy Thanksgiving

Week 10 Regression F-tests

Reading: Sleuth 8

• Nov 31. Regression and ANOVA
• Dec 2. Review
• Dec 4. Office hour - find me in Weniger 255