This is the first course in a two-semester sequence on data analysis. The presentation of the material will be intuitive. The goal of the course is to give you tools that you can use in your research. Issues of experimental design will be highlighted throughout the course. The goal of science as science is not prediction and control but understanding.
Prediction is merely the test of understanding and control the practical reward.
Researchers sometimes judge an experiment by the p -value alone. A p -value, important in getting past a journal editor, is not the primary goal of an experiment. Data analysis is an exploratory process where the end product is a description of what happened in the experiment or study. I believe statistical training should continue throughout one's research career-a two semester graduate sequence is merely the beginning. I teach from the perspective of the general linear model.