Revised Course Schedule for Section 1
| Date | Assignments | Topic of Class |
| Jan. 8 | Introduction | |
| 13 |
None |
How to ask informative questions. Statistical Literacy. |
| 15 |
FPP 19 | Design of surveys |
| 20 |
None |
NO CLASS: Martin Luther King Day |
| 22 |
FPP 1 - 2 |
Design of experiments and observational studies |
| 27 |
FPP 3 - 6 | Exploratory data analysis with one variable |
| 29 |
FPP 7 - 8 | Exploratory data analysis with two variables |
| Feb. 3 |
FPP 9 - 10 | Correlation and simple regression |
| 5 |
FPP 11 -
12 |
More on simple regression |
| 10 |
FPP 13 - 14 |
Basics of probability |
| 12 |
Review FPP 13 - 14, FPP 15. |
Applications of probability |
| 17 |
SNOW DAY: CLASS CANCELLED |
|
| 19 |
Midterm exam. Link to
instructions for midterm 1 |
|
| 24 |
Contingency Tables |
|
| 26 |
FPP 16 - 18 | Expected values, Standard
errors, Central Limit Theorem |
| Mar. 3 |
FPP 20 - 21. Final project proposal due. Link to instructions for final project |
Confidence intervals |
| 5 |
FPP 22 - 23 | More on confidence
intervals |
| 10-14 |
No reading |
NO CLASS: Spring Break |
| 17 |
FPP 24 - 26. | Significance tests |
| 19 |
FPP 27 | More on significance tests |
| 24 |
FPP 28 | Chi-squared tests |
| 26 |
FPP 29 |
Limitations of significance
testing approach |
| 31 |
Midterm exam. Link to
instructions for midterm 2 |
|
| Apr. 2 |
Introduction to multiple regression |
|
| 7 |
Introduction to multiple regression 2 |
|
| 9 |
Introduction to multiple regression 3 |
|
| 14 |
Bayesian Supplement Ch. 1 | Bayesian paradigm: Bayes Rule |
| 16 |
Bayesian Supplement Ch. 2, 3. Final Project Presentations
in labs. |
Bayesian paradigm: Priors, likelihoods, posteriors |
| 21 | Bayesian Supplement Ch. 4 - 5. |
Bayesian Paradigm: Normal and binomial models |
| 23 |
No reading |
Wrap-up |
| May 1 |
Final Exam, 2:00 - 5:00 PM. Link to instructions for final exam |