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Subject details

  • Topics
    • 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
      • Disscusion forum/Discussion Board
      • Online Quizzes/Tests
      • Online assignment submission
      • Web links
    • Print Materials
      • Welcome letter
    • Online Materials
      • Printable format materials

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.
  • Assignment 1 - Invigilated Exam (50%)
  • Assignment 2 - Quizzes — Online (10%)
  • Assignment 3 - Assignments — 2 (40%)

Textbooks are subject to change within the academic year. Students are advised to purchase their books no earlier than one to two months before the start of a subject

Entry Requirements

Equivalent Subjects

You cannot enrol in this unit 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 unit:

Special requirements

No special requirements

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.

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