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STA3300 Experimental Design

Units : 1
School or Department : School of Mathematics, Physics & Computing
Grading basis : Graded
Course fee schedule : https://www.unisq.edu.au/current-students/administration/fees/fee-schedules
Version produced : 4 October 2023


Pre-requisite: STA2300 or STA1003 or equivalent or approval of examiner


The proper design, implementation and analysis of results of experiments are of vital importance in many disciplines. The validity and reliability of research findings can be severely compromised if a poor design or experimental procedure is followed. This course introduces principles of good design in experiments and discusses different methods of analysis of planned experiments which require the use of an appropriate statistical package. This course has relevance to all students involved in or planning to be involved in experimental projects, especially students in the general science and engineering disciplines. Previous statistical knowledge to the level of STA2300 Data Analysis only is assumed.

This course covers principles of design such as randomisation, replication, factorial arrangement and blocking. The emphasis is on general principles of design and analysis of experimental data rather than in describing the details of particular design layouts. Consideration is given to checking of assumptions and quality of data, robustness, prior and posterior analysis, contrasts, confounding, covariates, error control and reduction, and interpretation of results. Practical experience is gained in designing, carrying out, analysing and writing up the report from the results of an experimental study. Methods of analysis and different models are discussed and practised mainly using the SPSS software package.

Course offers

Study period Mode Campus
Semester 1, 2023 On-campus Toowoomba
Semester 1, 2023 Online
Date printed 4 October 2023