This subject contains a 2 day Optional Residential School.
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.
No offerings have been identified for this subject in 2021.
HD/FL
One session
School of Information Studies
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.
This subject contains a 2 day Optional Residential School.
The information contained in the CSU Handbook was accurate at the date of publication: May 2021. The University reserves the right to vary the information at any time without notice.