|Coffs Harbour||Session 2||Session 2|
|Online||Session 2||Session 2|
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.
Learning outcomes and graduate attributes
|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||Knowledge of a discipline|
|2||understand the logic of null-hypothesis testing and its application in simple experimental designs||Knowledge of a discipline|
|3||conduct appropriate parametric hypothesis tests for one- and two-group designs||Knowledge of a discipline|
|4||interpret the description of results to be found in research publications employing simple experimental designs||Knowledge of a discipline|
|5||identify errors and interpretation problems in published research employing a range of simple experimental designs||Intellectual rigour|
|6||communicate the results of an analysis adhering to APA standards.||Communication and social skills|
- Field, A, 2018, Discovering Statistics Using IBM SPSS Statistics, 5th Ed, Sage , London.
- Howell, G, 2016, Fundamental Statistics for the Behavioural Sciences, 9th edn, Cengage Learning, Boston, MA.
Teaching and assessment
Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Commencing 2019 Commonwealth Supported only. Student contribution band: 2
Please check the international course and fee list to determine the relevant fees.