STA2032

Advanced data analysis

(SCI)

Dr Malcolm Clark

6 points + Two 1-hour lectures and an average of two 1-hour computer laboratory per week + Clayton + Second semester + Prerequisites: STA1010, MTH1210, STA2010 or MTH2210 or equivalent + Prohibitions: STA3032

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 Minitab, with emphasis on understanding of concepts, interpretation of results, and checking of assumptions.

Assessment: Examination (3 hours): 75% + Assignments: 25%