Leader: Dr Malcolm Clark
Clayton Second semester 2006 (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