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Applied Statistics for Biologists (BIOL90002)
Graduate courseworkPoints: 12.5On Campus (Parkville)
Overview
Availability | Semester 1 |
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Fees | Look up fees |
This subject focuses on common statistical approaches used to analyse biological data sets. Topics covered include research and experimental design, hypothesis testing, estimation, and statistical modelling for univariate and multivariate data. In interactive classes, students will consolidate concepts before working through examples in the context of different disciplines within the biosciences (including biomedicine, genetics, environmental science and ecology). The computer-based workshops will provide opportunities to translate theoretical knowledge into practice with emphasis on statistical interpretation, reasoning, and basic coding skills. By the end of the subject, students will have the statistical skills required to design, analyse, and interpret their own biological research.
Intended learning outcomes
At the completion of this subject, students should be able to:
- apply appropriate statistical models to biological and environmental data sets;
- explain how good experimental design facilitates effective statistical tests;
- use basic coding within the R statistical environment;
- evaluate a research design and statistical methodology published in scientific literature; and
- justify their own statistical decisions and experimental designs.
Generic skills
On completion of this subject students should have developed the following generic skills:
- data management skills: ability to implement appropriate data and information management protocols,
- analytical skills: ability to apply quantitative inference and reasoning,
- problem solving skills: capacity to solve statistical problems faced by research biologists,
- critical thinking skills: capacity to demonstrate independent critical thinking; and
- time management skills: ability to manage study time and learning independently.
Last updated: 8 November 2024