MAT2236

Applied statistics 2

Dr H Nath

8 points - First semester - 4 hours of lectures, one 1-hour tutorial and one 1-hour workshop per week - Gippsland/Distance - Prerequisites: MAT1060 or GAS1631 or equivalent - Prohibitions: MAS3111, MAS3121, MAT3211, MAT3221, MAT2751, MAT2761, GAS3631

Objectives On the completion of this subject students will have developed the ability to recognise the need for using an experiment for collecting data, and the nature of data arising from these situations; an understanding of some of the important parametric methods of statistical data analysis; the ability to choose and apply a statistical technique (from those covered in the subject) suitable for analysing a given set of data; skills needed to formulate a model relating a response variable to a number of given independent variables; confidence in using a statistical package for applying statistical techniques covered in the subject.

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 parametric procedures to compare two independent and matched samples; review of simple linear regression; multiple linear regression - analysis of residuals, choice of explanatory variables; model selection and validation; nonlinear relationships; introduction to logistic regression; basic principles of experimental design; one-way and two-way analysis of variance models; planned and multiple comparison techniques; quality management; usage of some available statistical packages including MINITAB, data preparation, interpretation of output.

Assessment Two Assignments: 40% - Examination: 60%

Prescribed texts

Ott L An introduction to statistical methods and data analysis 4th edn, Duxbury, 1993

Back to the 1999 Science Handbook