Generally, the Teaching Assistant will conduct the recitations and cover material related to data analysis and statistical computing. This will require you to reread the material and generate some new questions that you should bring up in recitation or in office hours.
After a first reading and the lectures, you should attempt the homework. Class lectures definitely will not replace reading the textbook as I often will do examples rather than repeat details that are in the text. Most of our time will be spent covering more difficult material rather than things you can understand easily. You should read the material before lecture so that you have some idea of what will be discussed even if you don't understand everything. Other details will be given on the board. I will use overheads during lectures and will put copies on the class web site. Information about the text and any errors it contains can be found at the authors' web site. Statistics and Data Analysis: From Elementary to Intermediate (SDA) by Ajit C. Information about the course will be posted on the class web site.
Often, I am available after class, but the best way to see me is to schedule some time by phone or email. Data analysis is difficult without some computing tools and the recitations, in addition to answering questions about the course material, will introduce you to statistical computing.
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It is a full semester course with three hours of lectures and a one-hour recitation each week. This course is an introduction to data analysis and applied statistics, including multiple regression, analysis of variance and nonparametric methods for students who have taken a course in probability and a course in linear algebra. Recitations: 1 session / week, 1 hour / session Goals Lectures: 2 sessions / week, 1.5 hours / session
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