Course overview
This is an elective course in the Graduate Certificate in Research Skills and Master of Research programs intended to provide the student with an understanding of a range of key statistical methods used in the processing of research data. It will explain the use of statistical distributions and sampling as they relate to the conduct of data-based research across a wide range of disciplines.
The course will introduce different types of data and the effects of uncertainty and imprecision, principles underlying the use of statics to analyse data and make predications; common probability distributions, methods for testing statistical significance and hypothesis testing and analysis of variance along with commonly used tools used for analysis and visualisation. The ethical application of statistical methods within professional and national guidelines and frameworks will be addressed.
- Understanding Data and Basic Probability Theory
- Statistical Inference and Sampling Distributions
- Regression Modelling and Data Analysis
- Data Visualisation and Ethical Practice
Course learning outcomes
- Use basic probability theory and statistical reasoning to explore patterns and variability in data.
- Apply standard statistical methods, including hypothesis testing and linear regression, to analyse real-world data and interpret results.