Statistical methods are used to analyse data in a wide variety of fields (e.g. medicine, agriculture, business, economics, psychology, genetics, criminology, the social sciences). While statistical theory can be helpful in analysing such data, its direct application may be limited by practical problems. For example, some of the data may be missing, some observations may be inconsistent with the rest of the data, the standard assumptions (e.g. normality) may fail, and the standard methods may not answer the important questions. The best way to learn how to deal with these practical problems is to gain experience in analysing real data. This unit provides that experience through case... -- Course Website
Instructor: Assistant Professor Nazim Khan
Prerequisites: (STAT2225 Statistical Science or STAT2226 Statistical Models for Data) and [STAT2227 Applied Linear Modelling or STAT2401 Analysis of Experiments (may be taken concurrently)]
