STAC58H - Statistical Inference

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.


MO 11:00-12:00 MW160
WE 10:00-12:00 IC230


Office Hours

After class on Monday and Wednesday 12-2.


Four assignments worth a total of 50% and a final sit-down exam worth 50%.


The following texts will be used in the course.


The course website is


Past Exams