Most of you probably have taken a course that covers general descriptive statistics, then t-tests, correlation and regression, and analysis of variance. All of these methods are encompassed in the general linear model, and we will emphasize their similarities rather than their differences. The course will emphasize use of the computer rather than a calculator, and estimation of effect sizes rather than probabilistic hypothesis testing. Most of the time I will not care which you use. Class will focus on statistical theory and methods, and labs will focus on use of the computers and completion of homework.
Attendance is mandatory in class and labs.
Homework will be assigned once a week, and will be handed in to the appropriate lab instructor by class on Monday. Most homework will consist of analyzing datasets on the computer. You may collaborate with other students if you wish to, but I strongly recommend that you put some time into struggling with problems on your own, as this is the only effective way to learn this material. The homework is not graded, but completion is noted and included in your grade. There will be a midterm exam and a comprehensive final.