Subject details

Students who successfully complete this subject will be able to:

  1. Choose the appropriate statistical analysis based on the research hypothesis, the level of measurement of the variables and the testing of the appropriate assumptions
  2. Select appropriate statistical procedures, for example, using appropriate packages and mathematical calculations, to analyse data in a variety of contexts
  3. Explain the relationship between the concepts of effect size, sample size, one or two tailed tests, level of significance and power of a statistical test
  4. Write interpretive summary reports for inferential statistical techniques
  5. Identify when more advanced techniques are needed by comparing properties of statistical techniques to the nature of the complex research question.
    • Statistical Power
    • Identifying and reducing bias
    • Non parametric tests: Wilcoxon Signed Rank test, Friedman test, Wilcoxon Rank Sum test, Kruskal-Wallis Test
    • Bivariate and Multiple Regression including: inferential, assumption testing and transformations to achieve linearity
    • Spearman's and Kendal's Tau-b correlation
    • Single factor independent groups design analysis of variance
    • Completely randomised, factorial analysis of variance
    • Single factor repeated measures analysis of variance
    • Mixed design analysis of variance
    • Chi-Square, Fisher's Exact test, Cramer's V, Odds Ratio, Lambda
    • Chi Square goodness of fit test
  • Study resources

    • Instructional methods

      • Discussion forum/Discussion Board
      • Online Quizzes/Tests
      • Online assignment submission
      • Web links
    • 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-HMS771

You are recommended to have completed the following subjects(s) or have equivalent knowledge before starting this subject:


If you have some statistical background it is possible to complete STA60001 concurrently with STA60005.

Special requirements

  • OtherDetails -

    You will require access to a recent version of SPSS - at least the SPSS Grad Pak.

This subject extends the ideas developed in Statistical Practice 1 to include more advanced analyses, broaden the range of applications students are familiar with so that they will be able to carry out independent statistical investigations, and develop an awareness of the assumptions and limitations involved in the generalisation of results of such investigations.

Please note: assessment values are indicative only, details will be advised at the start of the subject.

  • Invigilated Exam (50%)
  • Quizzes — Online (10%)
  • Assignments — 2 (40%)

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

Textbook information is pending.

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