Course Schedule for Section 2
| Date | Reading | Topic of Class |
| Aug. 26 | No readings. |
Introduction |
| 28 |
No readings. |
Statistics and the media, effective graphical displays |
| Sept.
2 |
FPP 19. | Design of surveys |
| 4 |
FPP 1 - 2. | Design of experiments and observational studies |
| 9 |
FPP 3 - 6. |
Exploratory data analysis with one variable |
| 11 |
FPP 7 - 8. | Exploratory data analysis with two variables |
| 16 |
FPP 9 - 10. | Correlation
and simple regression |
| 18 |
No readings. | Contingency
tables, relative risks, odds ratios |
| 23 |
FPP 13 - 14. |
Basics of
probability |
| 25 |
FPP 15. |
Applications
of probability |
| 30 |
No readings. |
More
applications of probability (Bayes rule) |
| Oct. 2 |
No readings. Final Project Proposal Due. Link to instructions for final project | Work session
on probability |
| 7 |
No readings. |
Review in class |
| 9 |
Midterm exam. Link to instructions for midterm | |
| 14 |
FALL BREAK: No class. |
|
| 16 |
FPP 16 - 18. |
Expected
values, standard errors, Central Limit Theorem |
| 21 |
FPP 20 - 21. | More on
Central Limit Theorem. Confidence
intervals |
| 23 |
FPP 22 - 23. |
More on
confidence intervals |
| 28 |
FPP 24 - 26. | Significance tests |
| 30 |
FPP 27. | More on significance tests |
| Nov. 4 |
FPP 28. | Chi-squared tests |
| 6 |
FPP 29. |
Limitations of
testing and review |
| 11 |
FPP 11 - 12. |
Introduction to statistical modeling: Regression analysis |
| 13 |
No readings. |
Regression analysis |
| 18 |
Midterm exam. Link to instructions for midterm 2. | |
| 20 |
No readings. |
Introduction to multiple regression analysis |
| 25 |
No readings. |
Bayesian approach to data analysis |
| 27 |
THANKSGIVING: No class. |
|
| Dec. 1 |
Project presentations in labs. |
|
| 2 |
No readings. |
Bayesian approach to data analysis |
| 4 |
No readings. |
Wrap-up |
| Dec. 10 |
Final Exam, 2:00 - 5:00 PM. Link to instructions for final exam. |