MAT2061

Statistics and data analysis

Coordinators: Dr Michael Reeder (Clayton campus), Associate Professor Philip Rayment (Gippsland campus and distance education mode)

4 points
* Two 1-hour lectures per week
* First semester every year: Clayton
* First semester in even-numbered years: Gippsland/Distance
* Prerequisites: MAT1010 or MAT1050
* Prohibitions: GAS2631, MAS2011

Objectives On the completion of this subject students will be able to understand basic concepts in statistical modelling and applied probability; apply statistical techniques to practical problems in areas such as biology, medicine and industry.

Synopsis Revision of basic probability, simple probability models; random variables and their distributions, some standard distributions and their applications, sampling distributions of mean and variance; introduction to bivariate distributions, conditional expectation, simple linear regression and least squares estimation, introduction to parametric inference, chi-square goodness-of-fit test; use of Minitab.

Assessment Examination (2 hours - Clayton; 3 hours - Gippsland and distance education): 70%
* Assignments and/or tests: 30%