Availabilities:
2024 unit offering information will be available in November 2023
Unit description
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
- Descriptive statistics
- The normal distribution and measures of association between variables
- The logic of null-hypothesis testing
- Two-sample dependent and independent means t-tests
- Threats to validity and interpretation of null-hypothesis testing
- Modern approaches to quantitative research
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 | calculate basic descriptive statistics on a variety of real-world data sets |
| 2 | interpret measures of association between continuous variables common to psychological investigation |
| 3 | select and perform appropriate hypothesis tests for simple experimental designs |
| 4 | interpret and communicate the results of analyses using appropriate conventions in psychology |
On completion of this unit, students should be able to:
- calculate basic descriptive statistics on a variety of real-world data sets
- interpret measures of association between continuous variables common to psychological investigation
- select and perform appropriate hypothesis tests for simple experimental designs
- interpret and communicate the results of analyses using appropriate conventions in psychology
Teaching and assessment
Fee information
Domestic
Commonwealth Supported courses
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International
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