No offerings have been identified for this subject in 2016

STA302 Statistical Techniques (8)


Extends and deepens students knowledge of experimental design, analysis of variance and regression. Multiple regression and the connection between analysis of variance and regression is covered. Multiple comparisons, contrasts, orthogonal contrasts, multiple degree of freedom components, model diagnostic checking and variance stabilizing transformations are included. The analysis of variance methods cover: one-way ANOVA, two-way ANOVA, randomised complete blocks, factorial designs, Latin squares, Graeco-Latin squares, Balanced incomplete blocks, Youden squares, and Nesterd ANOVA. An alternative method for comparing different ANOVA designs, using multiple regression, and computer applications using MINITAB, are also included.

+ Subject Availability Modes and Location

Continuing students should consult the SAL for current offering details prior to contacting their course coordinator: STA302
Where differences exist between the handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject information

Duration Grading System School:
One sessionHD/FLSchool of Information Studies

Assumed Knowledge


Learning Outcomes

Upon successful completion of this subject, students should:
Be able to explain linear modelling through the use of regression methods similar to those in standard computing packages;
Have an appreciation of the models behind analysis of variance;
Understand aspects of those designed experiments most commonly used in scientific and industrial work.


The subject will cover the following topics:
One-way Anova; Comparison of treatment means; Linear regression, regression analysis of variance, multiple regression; Testing a subset of predictor variables; Connection between regression and analysis of variance; Conditions for ANOVA; Residual plots; Transformations; Randomized complete blocks; Missing values; Latin Squares, Graeco-Latin squares, balanced incomplete blocks, Youden squares; Nested ANOVA; Factorial designs.

Residential School

This subject contains a optional 2 day residential school.


The information contained in the 2016 CSU Handbook was accurate at the date of publication: 06 September 2016. The University reserves the right to vary the information at any time without notice.