It will be a short-answer-type test (not multiple-choice). It will be an open-book test, which means that you can bring in whatever course-related materials you wish to use on the exam.
You should bring the following materials with you:
I have posted the final exam from a previous semester of this class. There is also a version with solutions. Keep in mind that the final posted is based on 100 points (not 30) and it is not weighted as strongly towards the last four chapters as your final will be.
I have also posted a bunch of practice problems along with answers. If you get stuck on a particular problem, try checking out the hints from the following list of problems: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Finally, I've posted a version of midterm exam #1 along with answers. This may serve as a guide for topics we covered on probability during the first third of the course.
I STRONGLY encourage you to work on the practice problems and the old exams without looking at the solutions. Only check the solutions after you have made your best effort to answer the questions (as though you were actually taking an exam).
Here is a brief list of all the material we covered in the textbook that can be on the final:
| Chpt. | Sections | Notes |
|---|---|---|
| 1 | 2,4 | Understand plots and sample standard deviation |
| 2 | all | |
| 3 | 1, 2, 3, 4, 5 | |
| 4 | 1, 2, 3, 4, 6 | Sect. 4.4: Only exponential distribution |
| 5 | 1, 2, 4, 5 | |
| 6 | none | |
| 7 | 1, 2, 3 | 7.3: Don't worry about PI's and TI's. |
| 8 | all | 8.2: Don't worry about beta stuff starting on p. 334. 8.5: Don't worry about likelihood ratio principle |
| 9 | 1, 2, 3, 4 | |
| 10 | 1, 2 | 10.2: Don't worry about "CI's for other parametric functions" |
| 11 | 1, 2 | 11.1 and 11.2: Don't worry about models for mixed and random effects |
| 12 | all | 12.5: Don't worry about the bivariate normal distribution or "other inferences concerning rho" |
| 13 | 1 | 13.1: Only know how to interpret the plot of residuals vs.
the predictor and the normal probability plot of residuals |
| 14 | none | |
| 15 | none | |
| 16 | 1, 2, 5 |
If you have any questions, please contact me. Email is best.