2023 unit offering information will be available in November 2022
Introduces students to statistical concepts and techniques relevant to their degree. Statistical tools to model and analyse real-world situations and data are developed, enabling students to enhance their decision-making skills. The interpretation and communication of the results obtained is emphasised. Throughout the unit, Excel will be used for statistical calculations.
Topic 1 - Introduction to statistics
Topic 2 - Probability and data modelling
Topic 3 - Statistical distributions
Topic 4 - Confidence interval estimations
Topic 5 - Hypothesis testing
Topic 6 - Introduction to regression modelling
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||Analyse and interpret business and economic data to inform decision making|
|2||Evaluate business and economic data that is characterised by uncertainty.|
|3||Apply regression modelling techniques to evaluate and inform decision making.|
On completion of this unit, students should be able to:
- Analyse and interpret business and economic data to inform decision making
- Evaluate business and economic data that is characterised by uncertainty.
- Apply regression modelling techniques to evaluate and inform decision making.
Teaching and assessment
Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Please check the international course and fee list to determine the relevant fees.