#### STAT122B Introduction to Bayesian Statistics

This paper provides an introduction to statistical methods from a Bayesian
perspective. Bayes theorem gives a coherent approach to the problem of revising
beliefs given relevant data. It therefore provides a powerful method for
integrating data into the process of scientific discovery. A Bayesian approach
to statistics yields direct probability statements about model parameters given
data, straightforward calculation of probabilities for future observations and
unifies all aspects of statistical inference in a coherent way. The paper also
covers aspects of data gathering including how to ask appropriate questions, and
how to collect, summarise and interpret data appropriate to the problem posed.
The paper will be taught at a level appropriate for students with a sound
mathematical background. It is a very suitable paper for statistics,
mathematics, computer science and science students. The use of the statistical
computer package Minitab facilitates serious investigation of realistic data
sets.

**Prerequisite**

STAT121 Introduction to Statistical Methods-or at least 65 percent in a Bursary
mathematics paper

**Required book**

To be advised

**Assessment**

Internal assessment/final examination ratio-2/3:1/3 or 1/3:2/3-whichever works
in your favour

**Lecturer**

Dr Bill Bolstad