Abstract
This subject explores the use of statistical techniques to answer questions posed by researchers. It starts by determining the types of data to be collected and how this should be done to maximise the information obtained. It then considers various methods of statistical data analysis that might be required and … For more content click the Read More button below.
Syllabus
Brief introduction or revision of t-tests, one-way Analysis of Variance (ANOVA) and use of a statistical package.Design and analysis of factorial designs, split-plot designs and repeated measures designs.Generalised linear models, including logistic regression and Poisson (or `log-linear') regression.Multivariate techniques, including multivariate graphical techniques and multivariate ANOVA.Project planning.
Learning outcomes
Upon successful completion of this subject, students should:
1.
be able to describe the role of statistical methodology in scientific investigations;
2.
be able to explain the fundamental differences between observational studies and experimental designs, including the advantages and disadvantages of each;
3.
be able to design a data collection process in consultation with colleagues so as to maximise the information obtained for a specified cost;
4.
be able to identify and apply appropriate methods of statistical analysis to data that arise in a variety of research situations;
5.
be able to interpret the results of a statistical analysis and be able to explain the conclusions to someone without statistical training; and
6.
be able to use a commonly available statistical computer package to perform the analyses.
Assumed knowledge
STA201 or STA401 or STA501