Statistics is best learnt by doing. The homework problems are intended to help you understand the methods we discuss in class, and apply them to solve problems. I also try to set homework problems that make interesting points.
There will be four homework sets, one for each of the major sections of the course. They will be distributed in the middle of the appropriate set of lectures and due approximately one or two weeks after lectures on that topic.
The first three homework sets will consist of four problems. Most problems will have have multiple parts. You are to turn in answers to three of the four problems. The first two problems are intended to be simpler than the last two, so I presume most of you will answer the first two problems and choose one of the second two. However, the choice is yours. In general, the four problems will be:
You are encouraged to work together on the problems. I encourage groups to include both statisticians and non-statisticians. However, you must each write your own answers. Copying will not be tolerated.
Some of the problems during the semester will be labelled "Major data questions". Your answer to these problems should be in the following form:
I expect total length to be no more than three pages for each data problem.
Answers to the "short" data questions and theoretical questions are more straightforward. Answer the question, showing your work.
Please ask me if you have any questions about the problems. I am very willing to give advice, especially about computing.
I give you two to three weeks to work on the assignment because I don't think the problems can be answered overnight. Please do not wait until the day before to start working.
The last homework assignment, for the hierarchical modeling block, will be to work in a team of 2 or 3 people. You will choose a problem, develop a hierarchical model for that problem, fit the model to data, then present your work as a 15 minute conference presentation. More information will be provided later.