The course surveys the various approaches that have been considered for the development of a theory of statistical reasoning. These include likelihood methods, Bayesian methods and frequentism. These are compared with respect to their strengths and weaknesses.
The correctness of a statistical argument is based entirely on the theory that provides the justification for the approach taken. The course will address the issue of whether or not a sound theory can be developed and, if so, what characteristics it possesses.
To use statistics successfully requires a clear understanding of the meaning of various concepts such as likelihood, confidence, p-value, belief, etc. This is the purpose of the course.
After class on Monday and Wednesday 12-2.