Statistical modeling and inference are based on the mathematical theory of probability and solving practical problems usually requires integration or optimization in several dimensions. Solving all but the simplest problems also requires computer skills and familiarity with statistical software that will be taught in the weekly Discussion Section on Thursday afternoons. Only the simplest problems can be solved without the use of a computer, so we will have weekly discussion section to introduce you to statistical Computing using the S-Plus statistical computing environment. Ten weekly problem sets are assigned through the on-line syllabus . Late homeworks will not be accepted for full credit without a Dean's Excuse , but the lowest homework score will be dropped.
Partial credit is available for homeworks turned in no more than a few hours late.
You are encouraged to ask the Professor and the TA for help on your homework, after you have tried to solve the problems on your own. Questions about exam scores should be taken up with the Professor. This exam and several other course materials are offered in PostScript form. If you wish, you may submit an optional Term Project, which will take the place of the Final Exam. Projects are described in some detail here .