Subject details

Students who successfully complete this subject will be able to:

  • Specify the objectives of an investigation in statistical terms;
  • Identify the level of measurement of a variable, appropriate sampling methods, and research design of a study;
  • Produce appropriate descriptions and visualisations of data distributions;
  • Estimate population parameters (proportions, means) using appropriate statistics and confidence intervals;
  • Select and conduct appropriate hypothesis tests for different population parameters (proportions, single sample means, difference of means for matched and independent samples);
  • Describe the relationships between variables (correlations, crosstabs, relative risk and odds ratios) and test the significance of these relationships;
  • Interpret the outcomes of data analysis to write a concise report on findings.
    • Critical thinking in statistics; confounding and sources of bias.
    • Ordering & grouping data: interpretation frequency tables and histograms; summarising data: median, IQR & boxplots; the mean & standard deviation.
    • Describing and displaying relationships; Pearson's r; introduction to regression; relationships in tabulated data; correlation and causality.
    • Producing data; experiments; population and samples; density curves and normal distribution.
    • Introduction to estimation, confidence intervals for proportions, means and correlations.
    • Making decisions about means, the Binomial, t tests; testing relationships; Pearson's r and the Chi-square test of independence.
    • Relative Risk & Odds Ratios
  • Study resources

    • Print materials

      • Welcome letter
    • Online materials

      • Printable format materials

Equivalent subjects

You cannot enrol in this subject if you have successfully completed any of the following subject(s) because they are considered academically equivalent:

  • SWI-STA102
  • SWI-STA15


Do not enrol into this subject if you have completed STA15.

Special requirements

  • OtherDetails -

    IBM SPSS Statistics BASE GradPack (for Windows or Mac) is sufficient for this unit. The current version of SPSS is v.25. Note: Earlier versions 23 and 24 of the SPSS GradPack, are also acceptable. This software can be purchased from On The Hub

    Please note that if you have already purchased earlier versions from Co-op you can still use it. 

    Additional required materials will be advised on the Swinburne’s STA10003 Canvas Learning Management System site when it opens the week before the start of the study period.

This subject of study enables students to develop the capacity to undertake independent statistical investigations, including the assumptions and limitations of their application.  The subject will provide practical skills to allow students to meaningfully interpret the results of various hypothesis tests, as well as to understand probability distributions and sampling methods commonly applied when collecting data. 

This subject is part of the Social Science Pathway.

OUA Pathways recommends the best subjects to start your studies, even if you're not sure which degree you want to do. Each pathway includes four subjects based on your area of interest.

Once you complete your recommended path you'll be able to choose from a range of degrees in your area of interest. Plus, each of the subjects you complete through OUA Pathways can also be credited towards your chosen degree.

Learn more about OUA Pathways.

Please note: assessment values are indicative only, details will be advised at the start of the subject. Students must get at least 40% in the exam to be eligible to pass the subject.

  • Assignment (40%)
  • Invigilated Exam (40%)
  • Test — Online (20%)

Click on the titles of the listed books below to find out more:

Textbook information is pending.

Related degrees

undergraduate SWI-BBP-DEG-2019

Bachelor of Psychological Sciences

  • Major in Psychology
  • Co-Major in Sociology

undergraduate SWI-BBS-DEG-2019

Bachelor of Behavioural Studies

  • Major in Psychological Studies
  • Co-major in Sociology