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 Outlines
Current CSU students can view Subject Outlines for recent sessions. Please note that Subject Outlines and assessment tasks are updated each session.

No offerings have been identified for this subject in 2018.

Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject Information

Grading System

HD/FL

Duration

One session

School

School of Information Studies

Assumed Knowledge
STA201

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.

Syllabus

This 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 2 day Optional Residential School.

Contact

Current Students

For any enquiries about subject selection or course structure please contact Student Central or ask@csu.edu.au or phone on 1800 275 278.

Prospective Students

For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 275 278 (free call within Australia) or enquire online.

The information contained in the 2018 CSU Handbook was accurate at the date of publication: August 2018. The University reserves the right to vary the information at any time without notice.

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