P553 | 3820 | J. Kruschke

Despite the official title ("Advanced Statistics in Psychology"), this course is an introduction to basic statistics. We will cover fundamental concepts of sampling distributions and statistical inference. We will not address issues in experimental design, nor the analysis of complex designs. The subsequent course in the sequence, P554, addresses those issues. The first goal for the course is for you to understand the basic logic of statistical inference, and to understand how every particular case we encounter, e.g., z-tests, t-tests, F-tests, chi-square tests, etc., are simply specific cases of the same general logic of model fitting. The second goal is for you to understand that "Science is a very human form of knowledge. ... Every judgment in science stands on the edge of error, and is personal. Science is a tribute to what we can know although we are fallible." (J. Bronowski, 1973.) The methods of statistics are the means by which we stake our claims to (scientific) knowledge, and can be construed as the ultimate expression of human culture. Format: Lectures and "lab" sections. Text: Lockhart, Introduction to Statistics and Data Analysis, 1988, W.H. Freeman. Grades are based on weekly homework and three exams. Instructor is available by appointment; assistants are also available. Web pages for the course (to be updated) can be found at http://www.indiana.edu/~jkteach/P553/