Psychology | Advanced Statistics in Psychology
P553 | 3819 | 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/