Methods of data analysis

Lectures MWF 1300-1350, ILLC 155
Labs F 0800-0850 (Matthew), 1200-1250 (Matthew) or 1400-1450 (Jessica), Milne 201

Instructor: Charlotte Wickham, 76 Kidder
charlotte.wickham@stat.oregonstate.edu

Homework Help Sessions
Wed 1430-1600 CORD 2113
Thu 1400-1500 Valley Library 6420

TA’s
Matthew Hathcock hathcocm@stat.oregonstate.edu
Office hours: Wed 3-4, Thu 1-2 Kidder 113H

Jessica Tapley tapleyj@stat.oregonstate.edu
Office hours: Mon 11-12 Kidder 113H

Vote on the project and give feedback

Project Due March 14th before 2359

Lectures

• Jan 09. Welcome
  • Code to try at home
• Jan 11. R Bootcamp Reading: Section 1.5.1
  • code
• Jan 13. Graphics in R Reading: Explore some of the resources for learning more R, or the manual below.
  • The online manual for ggplot2
  • code
• Jan 16. MLK Day No class
• Jan 18. Statistical Inference Reading: Sections 1.1 & 1.2
• Jan 20. Flood Day No class
• Jan 23. Statistical justice and the randomization test Reading: Sections 1.3 & 1.4
• Jan 25. Paired t-test Reading: Sections 2.1 & 2.2
  • code to make lecture slides
• Jan 27. Two-sample t-test Reading: Sections 2.3 & 2.4
  • code for two-sample to on Bumpus
• Jan 30. Two sample confidence intervals & assumptions Reading: Sections 2.4, 2.5, 3.1 & 3.2
  • Flowchart for writing hypotheses and summaries
  • Examples of hypotheses and summaries
• Feb 1. Assumptions of the t-tools Reading: Sections 3.1 & 3.2
• Feb 3. Outliers and transformations Reading: Sections 3.3, 3.4 & 3.5
• Feb 6. Wilcoxon Rank Sum Test Reading: Sections 4.1 & 4.2
  • Worksheet for tests
  • R Code
• Feb 8. Levene's test and Welch's t-test Reading: Sections 4.3.2 & 4.5.3
  • R Code
• Feb 10. Sign and Signed Rank tests Reading: Sections 4.4, 4.5.1 & 4.5.2
  • Completed test worksheet
• Feb 13. Choosing a test and statistical power
  • Choosing a two group test
• Feb 15. Multiple group comparisons Reading: Sections 5.1, 5.2, 5.3
  • R code
• Feb 17. Midterm
• Feb 20. The ANOVA F-test Reading: Sections 5.3 & 5.4
  • R code
• Feb 22. More ANOVA F-test Reading: Sections 5.5 & 5.6
  • R code
• Feb 24. Another ANOVA example
  • Case 6.1
  • Case 6.1 Solution
  • Case 6.2
  • Case 6.2 Solution
• Feb 27. Linear Combinations of means Reading: Sections 6.1 & 6.2 (not subsection 6.2.3)
  • Your Turn solutions
• Feb 29. Simultaneous Inference and Multiple Comparisons Reading: Sections 6.3 & 6.4 (we will only cover LSD, Tukey Kramer and Bonferroni)
  • Code
• Mar 2. Simple Linear Regression Reading: Sections 7.1 & 7.2
  • Code
• Mar 5. Estimating the slope and intercept Reading: Section 7.3
• Mar 7. Inference in regression Reading: Section 7.4 & 7.5
  • Code
• Mar 9. Assumptions of regression Reading: Sections 8.1, 8.2 & 8.3
  • Code
• Mar 12. Assessment of fit using anova Reading: Sections 8.4 & 8.5
• Mar 14. Coffee, Cookies & Review
  • Review worksheet for Chapter 8
  • Solution
• Mar 16. Office hour in class
• Mar 19. **Final 12:00 - 13:50 ILLC 155**