| General Information | - | Course Outline | - | HW Assignments |
Textbook: The Statistical Sleuth: A Course in Methods
of Data Analysis
Fred L. Ramsey and Daniel W. Schafer
| Date | TOPIC |
| January 10
January 12 January 14 |
Chap 1: Drawing Statistical Conclusions (principles of
inference; randomization distributions and p-values; graphical techniques) Chap 1: Drawing Statistical Conclusions Chap 1: Drawing Statistical Conclusions |
| January 17
January 19 January 21 |
Chap 2: Inference Using t-distributions
Chap 2: Inference Using t-distributions Chap 2: Inference Using t-distributions |
| January 24
January 26 January 28 |
Chap 3: A Closer Look at Assumptions (i.e., robustness
of t-tools to violations)
Chap 3: A Closer Look at Assumptions Chap 4: Alternatives to the t-Tools |
| January 31
February 2 February 4 |
Chap 4: Alternatives to the t-Tools
Chap 4: Alternatives to the t-Tools Chap 4: Alternatives to the t-Tools |
| February 7
February 9 February 11 |
Chap 5: Comparisons among Several Samples (ANOVA)
Chap 5: Comparisons among Several Samples Chap 5: Comparisons among Several Samples |
| February 14
February 16 February 18 |
Chap 6: Linear Combinations and Multiple Comparisons of Means
(post-hoc ANOVA tests)
Chap 6: Linear Combinations and Multiple Comparisons of Means Chap 6: Linear Combinations and Multiple Comparisons of Means |
| February 21
February 23 February 25 |
Chap 6: Linear Combinations and Multiple Comparisons of Means
Chap 7: Simple Linear Regression: A Model for the Mean Chap 9: Multiple Regression (in the context of ANOVA) |
| February 28
March 1 March 3 |
Chap 9: Multiple Regression (in the context of ANOVA)
Midterm test Chap 16:A brief look at MANOVA |
| March 6-10 | SPRING BREAK |
| March 13
March 15 March 17 |
Chap 17: Principal components analysis
Chap 17: Principal components analysis Chap 18: Comparisons of Proportions or Odds |
| March 20
March 22 March 24 |
Chap 18: Comparisons of Proportions or Odds
Chap 19: More Tools for Tables of Counts (e.g., chi-squared, Fisher's exact, Mantel-Haenszel) Chap 19: More Tools for Tables of Counts |
| March 27
March 29 March 31 |
Chap 20: Logistic Regression for Binary Response Variables
Chap 20: Logistic Regression for Binary Response Variables Chap 20: Logistic Regression for Binary Response Variables |
| April 3
April 5 April 7 |
Chap 21: Logistic Regression for Binomial Counts
Chap 21: Logistic Regression for Binomial Counts Chap 13: ANOVA for two-way classifications |
| April 10
April 12 April 14 |
Chap 13: ANOVA for two-way classifications
Chap 13: ANOVA for two-way classifications Chap 13: ANOVA for two-way classifications |
| April 17
April 19 April 21 |
Chap 14: Multifactor Studies without Replication
Chap 14: Multifactor Studies without Replication Chap 14: Multifactor Studies without Replication |
| April 24
April 26 April 28 |
Review and case studies
Review and case studies No Class |
May 1-5 |
FINALS WEEK (Our final is Wednesday from 4:40-6:40 in 117 Thomas) |