MAS294   Statistical Reasoning (NJUT)   (10 credits)

Description

Statistics is about learning from data - often uncertain and variable - about underlying regularities of the real world. At first sight the methods for statistical analysis can appear particular to each application. This unit however shows that they can be founded on simple universal principles of statistical reasoning. There are two principal forms of statistical reasoning, known as frequentist and Bayesian inference These principles simplify understanding and give powerful tools for analysing new problems. They form the basis for more specialist modules later in the course. The course will show how practical analyses follow from the principles, and will illustrate their power through a set of case studies of real-world problems from areas such as medicine, economics, technology and the environment.

Reading List