Course Schedule for Section 1
| Date | Readings |
Topic of Class |
| Aug. 25 | No readings. |
Introduction |
| 27 |
No readings. |
How to ask informative questions. Statistical Literacy. |
| Sept.
1 |
FPP 19. | Design of surveys |
| 3 | FPP 1 - 2. | Design of experiments and observational studies |
| 8 |
FPP 3 - 6. |
Exploratory data analysis with one variable |
| 10 |
FPP 7 - 8. | Exploratory data analysis with two variables |
| 15 |
FPP 9 - 10. | Correlation
and simple regression |
| 17 |
FPP 11 - 12. | More on simple
regression |
| 22 |
FPP 13 - 14. |
Basics of
Probability |
| 24 |
FPP 15. |
More
probability examples |
| 29 | No readings. |
Applications
of probability |
| Oct. 1 |
No readings. Final
Project Proposal Due. Link to instructions for final project |
Contingency tables, relative risks, odds ratios |
| 6 |
No readings. |
Applying Ch. 1 - 12: Case studies from the social sciences |
| 8 |
Midterm exam. Link to instructions for midterm | |
| 13 |
FALL BREAK: No class. |
|
| 15 |
FPP 16 - 18. |
Expected values, Standard errors, Central Limit Theorem |
| 20 |
FPP 20 - 21. | Confidence
intervals |
| 22 |
FPP 22 - 23. |
More on
confidence intervals |
| 27 |
FPP 24 - 26. | Significance tests |
| 29 |
FPP 27. | More on significance tests |
| Nov. 3 |
FPP 28. | Chi-squared tests |
| 5 |
FPP 29. |
Limitations of
significance testing approach |
| 10 |
Midterm exam. Link
to instructions for midterm 2. |
|
| 12 |
Handout. | Bayesian paradigm: Bayes Rule |
| 17 |
Handout. |
Bayesian paradigm: Normal model |
| 19 |
Handout. |
Introduction to multiple regression 1 |
| 24 |
Handout. |
Introduction to multiple regression 2 |
| 26 |
THANKSGIVING: No class. |
|
| Dec. 1 |
No reading. |
Principles of displaying data. Statistical research. |
| 3 |
No reading. |
Wrap-up |
| 4 |
Project presentations in labs. |
|
| Dec. 12 |
Final Exam, 7:00 - 10:00 PM. Link to instructions for final exam. |