Subject details

  • Topics
    • Level of measurement
    • Displaying and summarising categorical and metric data
    • Describing the relationship between variables
    • Correlation and causation
    • Normal Distribution
    • Sampling Distributions
    • Confidence Intervals
    • Hypothesis testing
    • Statistical Inference for the mean
    • t-tests for one sample, paired and independent data
    • The chi-square test of independence
    • Choosing the correct statistical 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. Effectively display information in datasets graphically
  2. Select an appropriate descriptive or inferential statistical technique based on the researcher’s hypothesis, the level of measurement of the variables and testing of the appropriate assumptions to analyse the data
  3. Select appropriate IBM SPSS Statistics procedures, Java applets on the web and mathematical calculations, to obtain basic statistical test results, including confidence intervals and effect size statistics
  4. Explain the foundations of statistical inference, in particular the role of sampling distributions and the use of the normal distribution as a density curve
  5. Recognize when more advanced techniques are needed
  6. Write interpretive summary reports for both descriptive and inferential statistical analysis.
  • 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-HMS770

Special requirements

No special requirements

This subject develops students’ understanding of a range of statistical methods along with their assumptions and limitations of their application. It enables students to develop the capacity to carry out independent statistical analysis of data using a standard statistical software package and also aims to develop students’ abilities in effectively communicating the outcomes of statistical investigations. In addition, it will provide a foundation and motivation for exposure to statistical ideas subsequent to the Graduate Certificate (GC) degree.

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

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