STA2032

Advanced Data Analysis (6 points)

(SCI)

Leader: Dr Malcolm Clark

Offered:
Clayton Second semester 2003 (Day)
Clayton Second semester 2004 (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.

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