STA2032

Advanced data analysis ( 6 points, SCA Band 2, 0.125 EFTSL)

Leader: Dr Malcolm Clark

Offered:
Clayton Second semester 2005 (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, MTH1210, STA2010 or MTH2210 or equivalent

Prohibitions: STA3032