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Unit Summary

Unit type

UG Coursework Unit

Credit points

12

Faculty/College

Faculty of Health

Unit aim

A basic understanding of the concepts underlying hypothesis testing is provided, with emphasis upon the normal distribution and central limit theorem. Equips students with a range of quantitative data analytic techniques (correlation, z-test, single-sample t-test, between groups t-test, and repeated measures t-test) utilised in psychological research.

Unit content

  • Basic concepts
  • Describing and exploring data
  • Basic concepts of probability
  • The normal distribution
  • Pearson's correlation coefficient
  • Sampling distribution and central limit theorem
  • Hypothesis testing: t-test for a single mean
  • Hypothesis testing: repeated measures t-test
  • Hypothesis testing: independent measures t-test
  • Assumptions and their implications

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:
1 correctly calculate basic parametric statistics on a variety of data sets
2 understand the logic of null-hypothesis testing and its application in simple experimental designs
3 conduct appropriate parametric hypothesis tests for one- and two-group designs
4 interpret the description of results to be found in research publications employing simple experimental designs
5 identify errors and interpretation problems in published research employing a range of simple experimental designs
6 communicate the results of an analysis adhering to APA standards.

On completion of this unit, students should be able to:

  1. correctly calculate basic parametric statistics on a variety of data sets
  2. understand the logic of null-hypothesis testing and its application in simple experimental designs
  3. conduct appropriate parametric hypothesis tests for one- and two-group designs
  4. interpret the description of results to be found in research publications employing simple experimental designs
  5. identify errors and interpretation problems in published research employing a range of simple experimental designs
  6. communicate the results of an analysis adhering to APA standards.

Prescribed texts

  • Howell, G, 2016, Fundamental Statistics for the Behavioural Sciences, 9th Ed., Cengage Learning, Boston, MA.
Prescribed texts may change in future teaching periods.