- Lecture 1, Jan 14. Syllabus and Introduction
- Lecture 2, Jan 16.
- Inference about population mean.
- Examples used in the lecture.

- Lecture 3, Jan 21.
- Inference about population mean - cont.
- Inference about population variance.
- Examples ...

- Lecture 4, Jan 23.
- Inference about population variance - cont.
- Interpretation of confidence intervals

- Inference about population proportion.
- Examples ...

- Inference about population variance - cont.
- Lecture 5, Jan 28.
- Graphical methods for checking normality.
- Inference about population proportion - cont.
- Applications of CI
- Tests: small and large n
- An experiment (ESP)

- Examples ...

- Lecture 6, Jan 30.
- Inference about two population means
- Demo on using Minitab and SAS by two graduate students.
- Examples ...

- Lecture 7, Feb 4.
- Inference about two population means -cont
- Independent samples
- Paired samples
- Test for the equivalence of two variances

- Inference about two population means -cont
- Lecture 8, Feb 6.
- Inference about two population proportions
- Reviews and Examples

- Lecture 9, Feb 11.
- Reviews and examples - cont
- Wicoxon Rank Sum Test

- Lecture 10, Feb 14.
- Wicoxon rank sum test -cont
- Sign test

- Lecture 11, Feb 18. Sign test: 0.5 correction, small and large samples
- Lecture 12, Feb 20. Wicoxon signed rank test
- Lecture 13, Feb 25. One-way ANOVA
- Lecture 14, Feb 27. One-way ANOVA (cont), graphics and ANOVA models
- Lecture 15, Mar 4. Reviews
- Lecture 16, Mar 6. Midterm examination
- Lecture 17, Mar 18. Randomized block design and (go over) the exam.
- Lecture 18, Mar 21. Multiple comparisons and other ANOVA models.
- Lecture 19, Mar 25. Nonparametric techniques for 2 or more samples
- Lecture 20, Mar 27. Chi-square tests: Goodness of Fit
- Lecture 21, Apr 1. Chi-square tests: Goodness of Fit (cont) and Independence
- Lecture 22, Apr 3. Review and group work
- Lecture 23, Apr 8. Regression I
- Lecture 24, Apr 10. Regression II
- Lecture 25, Apr 15. Regression III
- Lecture 26, Apr 17. Regression Effect - Money Test
- Lecture 27, Apr 22. Regression IV - Model Corrections
- Lecture 28, Apr 24. Review