Math 222 will begin with a review of statistical theory and inference techniques including normal and t-distributions. From there we will cover analysis of variance (ANOVA), chi-squared techniques, inference for regression, multiple regression, logistic regression, some non-parametric techniques, and bootstrapping. We will make extensive use of the R statistical computing language throughout the course.
The schedule below is tentative, and may be subject to change. Changes will be announced in class, and you are responsible for knowing about any changes even if you miss the class when they are announced.
| Week | Dates | Topics |
|---|---|---|
| 1 | Jan 13-15 | Review of statistical theory |
| 2 | Jan 18-22 | Statistical inference with R |
| 3 | Jan 25-29 | Power and design of studies |
| 4 | Feb 1-5 | Two-way tables, chi-squared tests |
| 5 | Feb 8-12 | Inference for linear regression |
| 6 | Feb 15-19 | Logistic regression, Midterm 1 |
| 7 | Feb 22-26 | Multiple regression |
| 8 | Feb 29-Mar 4 | Analysis of variance |
| 9 | Mar 14-18 | One-way analysis of variance |
| 10 | Mar 21-25 | Two-way analysis of variance |
| 11 | Mar 28-Apr 1 | Nonparametric tests |
| 12 | Apr 4-Apr 8 | Nonparametric tests - con'd, Midterm 2 |
| 13 | Apr 11-Apr 15 | Bootstrap methods |
| 14 | Apr 18-Apr 22 | Bootstrap methods - con'd |
| 15 | Apr 25 | Review |
Attendance in this class is required. Repeated absences may result in a forced withdrawal from the course. You are responsible for any material you miss due to absence. Please let me know ahead of time if you know that you will not be able to attend class.
The term grade will be based on the following factors.
| Component | Proportion |
|---|---|
| Homework & Projects | 60% |
| Midterm Exams | 20% |
| Final Exam | 20% |
There will be written homework assignments due almost every week. These assignments will require you to use the R statistical computing language. Most assignments will be submitted electronically, and you will be graded on both mathematical accuracy and the clarity of your writing.
Late homework will not be accepted. You are permitted, and in fact encouraged to work together, but all assignments you submit must ultimately be your own work.
Each problem will be graded on a 4 point scale.
If you receive less than a 4 on any problem, you will have at least one opportunity to resubmit your solution for a higher score. You keep the best score on each problem you complete. Here are the requirements in order to achieve each of the final letter grades on the homework & projects portion of the final grade.
There will be two midterm exams and a cumulative final exam. Both midterm exams are worth 10% of your final grade, and the final is worth 20%. The exams will focus on statistical concepts with less emphasis on statistical computations. The final exam will take place on Monday, May 2 at 9am.
In compliance with the Hampden-Sydney College policy and equal access laws, I am available to discuss appropriate academic accommodations that may be recommended for students with disabilities. Requests for academic accommodations are to be made at the beginning of the semester (except for unusual circumstances) so that appropriate arrangements can be made. Students are required to contact the Office of Academic Success in order to verify their eligibility for appropriate accommodations. How does this look?