STA2032 - Advanced data analysis

Leader(s): Dr Aidan Sudbury

Offered

Clayton Second semester 2009 (Day)

Synopsis

Methods of data analysis including multiple linear regression, binary logistic regression, analysis of variance, sample surveys and non-parametric methods. Statistical techniques will be illustrated by real-life examples, using the statistical package SPSS, with emphasis on understanding of concepts, interpretation of results, and checking of assumptions.

Objectives

On completion of this unit, students will know how to use a statistical package to carry out statistical analyses of real-world data using techniques of multiple linear regression, analysis of variance, survival analysis and various non-parametric methods; how to interpret the results of these analyses; will understand the assumptions behind these analyses, and know how to use the software to check the validity of these assumptions; and will know how to apply these procedures in both standard and non-standard situations.

Assessment

Examination (3 hours): 60%
Assignments: 40%

Contact hours

Two 1-hour lectures and an average of two 1-hour computer laboratory per week

Prerequisites

STA1010 or STA2010

Prohibitions

STA3032