Applied statistics
BS BT DT BC BP BDT
Associate Professor Philip Rayment and Ms Harminder Nath
6 points * First semester * 4 hours per week * Gippsland/Distance * Prerequisites: GAS1831, GAS1631
This subject is designed to develop an understanding of some of the most widely used methods of statistical data analysis, from the viewpoint of the user, with an emphasis on planned experiments. Students will become familiar with at least one standard statistical package. Topics covered include parametric and non-parametric procedures to compare two independent and matched samples; review of simple linear regression; multiple linear regression - analysis of residuals, choice of explanatory variables; non-linear relationships; basic principles of experimental design; one-way and two-way analysis of variance models; multiple comparison techniques; Kruskal-Wallis test; basic sampling techniques including simple random sampling and stratified random sampling; usage of some available statistical packages including MINITAB, data preparation, interpretation of output.
Assessment
Assignments: 50% * Examination: 50%
Prescribed texts
Ott L An introduction to statistical methods and data analysis 4th edn, Duxbury, 1993