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Unit Summary
Unit type
UG Coursework Unit
Credit points
12
AQF level
Level of learning
Intermediate
Former School/College
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
Topic 1: Basic concepts
Topic 2: Describing and exploring data
Topic 3: Basic concepts of probability
Topic 4: The normal distribution
Topic 5: Pearson's correlation coefficient
Topic 6: Sampling distribution and central limit theorum
Topic 7: Hypothesis testing: t-test for a single mean
Topic 8: Hypothesis testing: repeated measures t-test
Topic 9: Hypothesis testing: independent measures t-test
Topic 10: Assumptions and their implications
Topic 11: Hypothesis testing for 3 or more means, analysis of variance (ANOVA)
Topic 12: Revision
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: | GA1 | GA2 | GA3 | GA4 | GA5 | GA6 | GA7 | |
|---|---|---|---|---|---|---|---|---|
| 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
- GA4:
-
understand the logic of null-hypothesis testing and its application in simple experimental designs
- GA4:
-
conduct appropriate parametric hypothesis tests for one- and two-group designs
- GA4:
-
interpret the description of results to be found in research publications employing simple experimental designs
- GA4:
-
identify errors and interpretation problems in published research employing a range of simple experimental designs
- GA1:
-
communicate the results of an analysis adhering to APA standards
- GA6:
Prescribed texts
- Howell, G., 2016, Fundamental Statistics for the Behavioural Sciences, 9th edn, Cengage Learning, Boston, MA. ISBN: 978-1-305-65297-2.