Please note - Swinburne University of Technology

sM747 Secondary Data Analysis
12.5 credit points
No. of hours per week: four hours
Prerequisite: SM733
A subject of the Master of Applied Science (Social Statistics)
by coursework.
Subject aims and description
This subject aims to develop the ability to explore complex
datasets with a view to formulate policy decisions. Starting
with existing datasets investigate policy formulation problems
making use of the techniques learnt elsewhere in the course.
Textbooks and References
To be advised
SM748 Research Methodology
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12.5 credit points
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No. of hours per week: four hours
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Prerequisite: SM745
2 A subject of the Master of Applied Science (Social Statistics)
g by coursework.
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Subject aims and description
This subject aims to continue the project planning in SM745
a by selecting the appropriate research methodology necessary
to proceed and, if necessary, develop additional skills needed
to complete the research. The content will vary from student
" to student depending on the project undertaken.
Textbooks and References
Depends on topic
SM749 Minor Thesis
25.0 credit points
No. of hours per week: eight houa
Prerequisite: SM748
A subject of the Master of Applied Science (Social Statistics)
by coursework.
Subject aims and description
This subject follows on from SM748 and aims to carry out
an original piece of social research and report the findings.
Textbooks and References
Depends on topic
5~750 Basic Statistical Computing
12.5 credit points
No. of hours per week: four hours
Prerequisites: nil
Instruction: computer laboratory sessions and
classroom lectures
Assessment: computer tests and assignments
Subject aims
This subject aims to develop competence in the use of
personal computers and associated statistical packages and
to acquire a level of statistical computing literacy necessary
for data analysis in the health sciences.
Subject description
This subject will include an introduction to micrcxomputers,
a mainstream statistical package such as SPSS and a
mainstream spreadsheet such as Lotus123 or Excel. It will
also include a package specific to the health sciences such
as Epi Info.
References
Brown. R.A. and Swanson, J. Medical Statistics on Micmcomputers.
British Medical Journal, 1990
Department of Mathematia notes
Moore, D.S. and McCabe, G.P. Introduction to the Practice of
Statistics. 2nd ed. Nan/ York: Freeman, 1993
Norusis, M. SPS%C+ Studentware Plus. Chicago: SPSS Inc.
User Guides for the packages used
Statistical packages
Epi Info V5 (1992)
Excel Version 4 (1992)
SPSS/PC+. Version 5.1 (1991) andlor SPSS for Window (1992)
~ ~ 7 5 1 An Introduction to Data Analysis
12.5 credit points
No. of hours per week: four hours
Prerequisites: nil
Instruction: audio visual presentations and
laboratory sessions using computers and
calculators
Assessment: practical and theoretical tests
Subject aims
This subject aims to provide a computer based introduction
to the concepts and practice of data analysis, statistical
estimation and hypothesis testing.
Subject description
This subject will include the following topia. Exploring data,
describing and summarising data, variability, levels of
measurement, time series, drawing inferences from sample
data, confidence intervals and testing hypotheses on means
and proportions for two groups. Chi square and t-tests.
Determination of sample size. Use of demographic and
health data. Use of statistical packages such as Minitab and
SPSS as appropriate.
References
Akman, D.G. Statistia for Medical Reseamhen. London: Chapman
Hall. 1991
Moore, D.S. and McCabe, G.P. Introduction to the Practice of
Statistics. 2nd ed, New York: Freeman, 1993
Mould, R.F. Introductory Medical Statistics. 2nd ed, Bristol: Adam
Hilger, 1989
Norusis, M. SPSWPC+ Studentware Plus. Chicago: SPSS Inc., 1991
Statistical packages
Excel Version 4 (1992)
Minitab Version 8.1 (1991)
SPSSlPC+, Version 5.1 (1 991)
Video series
Against All Odds. Adelaide, AAMT: Comap Inc., 1990
SM752 Advanced Statistical Computing
12.5 credit points
No. of hours per week: four hours
Prerequisites: SM750, SM751
Assessment: mixture of practical assignments and
tests
A subject of the Graduate Diploma of Applied Science
(Social Statistics).
Subject description
This subject aims to expand the work done in Basic
Statistical Computing by introducing the students to other
aspects of statistical computing, in particular the SAS system.
It will look at various modules of the SAS System such as
Base SASISTAT, SAS/ASSIST. SASIGRAPH, as well as requiring
the students to investigate the use of higher level statistical
procedures using as appropriate data set. Interfaces between
other packages and SAS will also be covered.
Students will be given the opportunity to work with their
own data.
Textbooks and References
Will be supplied by the lecturer
SM753
Survey Methods
12.5 credit points
No. of hours per week: four hours
Prerequisites: SM751 and SM750
Instruction: class teaching and workshops
supplemented by audio-visual presentations and
computer laboratory sessions
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