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Applied Statistics 2A (6 points)


Leader: Associate Professor Philip Rayment

Gippsland First semester 2004 (OCL)

Synopsis: This subject is designed to develop an understanding of some of the most widely used methods of statistical data analysis, from the view point of the user, with an emphasis on planned experiments. Students will become familiar with at least one standard statistical package. Topics covered include: multiple linear regression - analysis of residuals, choice of explanatory variables; model selection and validation; nonlinear relationships; introduction to logistic regression; principles of experimental design; analysis of variance models; planned and multiple comparison techniques; quality management; use of statistical packages.

Assessment: Assignments (two): 30% + Examination (3 hours): 70%

Contact Hours: Three 1-hour lectures and one 1-hour workshop per week

Prerequisites: MTH1210 or STA1010

Prohibitions: MAT2236, GAS3631, MAT3211, MAT3221, MAS3111, MAS3121, MTH2246

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