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Stats Papers
The Department offers 21 Statistics papers at 100, 200 and 300-level, as well as a selection of 400-level papers. This section includes short descriptions of these papers, together with links to individual illustrated paper pages which feature information about the subject, the paper and assessment procedures.
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 See a flowchart of available papers, their prerequisites and semesters.
Click the paper name below for complete details. Jump to 200 level, 300 level, 400 level
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100 level
Stat110 Statistical Methods 18 points First Semester, Summer School
This is a paper in statistical methods for students in the biological and social sciences covering descriptive statistics, probability distributions, estimation, hypothesis testing, regression, analysis of variance and experimental design. At the end of the course you should be able to make use of a wide variety of techniques in the design and analysis of your own research studies. The program R will be used for statistical analysis and data summary throughout the paper.
Stat115 Introduction to Biostatistics 18 points Second Semester
A paper for students in the health sciences covering an introduction to the research process and study design, measures for describing data, the binomial and normal distributions, estimation and inference for continuous data, estimation and inference for categorical data, regression procedures and statistical issues in study design. All examples and data analysed in the paper are from areas dealing with the human population. The statistical software SPSS will be used throughout the paper to assist with data analysis.
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200 level
Stat241 Regression & Modelling 1 18 points First Semester
This key paper in applied statistics develops appropriate regression models for explaining the variability in data. Topics include simple and multiple linear regression, residual analysis and inflence, methods for finding the best model, the use of qualitative predictors using dummy variables, the analysis of covariance and experiments involving one and two factors; logistic regression and the comparison of models using deviance differences and AIC; adjusted odds ratios and probability calculations using the chosen best model. IBM SPSS 19 and R are used.
Stat242 Multivariate Methods 18 points Second Semester
This paper looks at procedures for the analysis and interpretation of data involving several random variables, and has wide application in research methodology of the biological, health and social sciences. Tests of significance for multivariate data, measuring and testing multivariate distances, measures of distance, principal component analysis, exploratory and confirmatory factor analysis, methods of discrimination including the use of the logistic and multinomial regression models, canonical correlations, cluster analysis, multidimensional scaling, correspondence analysis and methods of ordination. IBM SPSS 19 is used throughout the paper although some use may be made of the free GenStat package.
Stat251 Design of Research Studies 18 points First Semester
An overview of design principles for scientific research. The topics covered include types of research study, random and systematic sampling, stratified sampling, basic experimental designs, replication, error degrees of freedom, defining sampling and experimental units, blocking, factorial experiments and repeated nested designs.
Stat261 Probability and Inference 1 18 points First Semester
A introduction to mathematical statistics and probability theory. Probability and random variables. Sampling distributions, statistical modelling and estimator. Hypothesis testing and simulation.
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300 level
Stat341 Regression and Modelling 2 18 points First Semester
An introduction to generalised linear models, non-linear regression models, and mixed effects models, with a mixture of background theory and practice in applying the methods to real datasets.
Stat342 Multivariate Methods 18 points Second Semester
Tests of significance for multivariate data, measuring and testing multivariate distances, measures of distance, principal component analysis, factor analysis both exploratory and confirmatory, methods of discrimination including the use of the logistic regression model, canonical correlations, cluster analysis and multidimensional scaling, methods of ordination including principal co-ordinate analysis and corresponding analysis. The statistical package IBM SPSS 19 is used throughout this paper but use will be made of the new free package GenStat as appropriate and the SPSS add on AMOS for confirmatory factor analysis.
Note that this paper is restricted against STAT 242 which has the same lectures.
Stat350 Introduction to Bayesian Modelling 18 points Not available in 2012
An introduction to the theory and application of Bayesian inference with an emphasis on applications. Bayesian methods for fitting standard statistical models will be considered, as well as hierarchical models and models that account for data collection. Models will be fitted using modern Bayesian software including WinBUGS/JAGS and R.
Stat352 Applied Time Series 18 points Second Semester
An introduction to the practical aspects of the statistical analysis of time series and its application to the physical sciences and econometrics. Topics include seasonal decomposition, identification and estimation of ARIMA models, intervention analysis, forecasting.
Stat362 Probability and Inference 2 18 points Second Semester
Theory of ordinary least squares, maximum likelihood estimation and inference, hypothesis testing, Bayesian statistics.
Stat380 Statistical Computing 18 points First Semester
This seminar style paper introduces students to computational methods in statistics. Applications are drawn from a series of case studies from a range of disciplines.
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400 level
Not all papers shown here will be available in any one year. Additional papers may be offered. Check with the Director of Studies for a confirmed list of papers that are running, their prerequisites and semester.
Stat411 Probability and Inference 3 18 points First Semester
An overview of probability theory and statistical inference. Topics include conditional probability, random variables, distributions, point estimation, interval estimation, hypothesis testing, and likelihood methods.
Stat412 Generalised Linear Models 18 points Second Semester
We consider the theory and use of generalized linear models beyond what is covered in Stat 341. This paper will include include theory, but primarily emphasize application with a focus on parametrization, interpretation, and hypothesis testing of regression parameters in generalized linear models.
Stat435 Data Analysis for Bioinformatics 18 points First Semester
The analysis of large data sets is becoming increasingly important in many areas. The techniques covered in this course will be applicable to a wide range of data types, including non-biological data. Exposure to other disciplines (in this case biomedical science) is a must for any applied statistician. Interacting with students from other fields is simulating, and will help you appreciate your statistical skills.
Stat441 Official Statistics 18 points Second Semester
This course provides an overview of the key areas of Official Statistics. Topics covered include data sources including both sample surveys and administrative data; the legal and ethical framework of official statistics; an introduction to demography; the collection and analysis of health, social and economic data; data visualisation including presentation of spatial data; data matching and integration; the system of National Accounts.
Stat442 Time Series 18 points Second Semester
An introduction to the theory and application of time series models. Topics covered include state space, ARMA and transfer function models and estimation theory, Kalman filtering, Basic Structural Model (BSM), non-Gaussian models.
Stat443 Bayesian Statistics 18 points First Semester
A course that introduces the Bayesian approach to statistical inference. A theoretical basis is developed while computational issues are addressed using Monte Carlo Markov chain methods.
Stat444 Stochastic Processes 18 points Second Semester
An introduction to stochastic processes and stochastic calculus, emphasizing both theory and practical application.
Stat480 Honours Project 36 points Full year
A 36-point project in an agreed topic, supervised by one or more staff.
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500 level
Stat501 Statistical Modelling for Research 18 points First Semester
The aim of this paper is to provide postgraduate students with many of the
important statistical tools that they require in their research. Students
will gain experience in using modern statistical software (R and WinBugs).
Topics covered will include probability, model fitting, model selection,
Bayesian statistics, hierarchical modelling and computer-intensive
methods.
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