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.
- 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
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:
- correctly calculate basic parametric statistics on a variety of data sets
- understand the logic of null-hypothesis testing and its application in simple experimental designs
- conduct appropriate parametric hypothesis tests for one- and two-group designs
- interpret the description of results to be found in research publications employing simple experimental designs
- identify errors and interpretation problems in published research employing a range of simple experimental designs
- communicate the results of an analysis adhering to APA standards.
- Howell, G, 2016, Fundamental Statistics for the Behavioural Sciences, 9th Ed., Cengage Learning, Boston, MA.
Teaching and assessment
Commonwealth Supported courses
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