2024 unit offering information will be available in November 2023
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.
Module 1 - Introduction to statistics
Module 2 - Probability and data modelling
Module 3 - Statistical distributions
Module 4 - Confidence interval estimations
Module 5 - Hypothesis testing
Module 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
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