Provides students with a fundamental understanding of experimental logic and statistical methods commonly-used in marine and forest science. Students will gain experience with fundamental statistical analyses in SPSS and PRIMER/PERMANOVA.
- Parameters for defining populations
- A logical framework for scientific research
- Student's t-test, chi-squared tests and analysis of variance
- Type I/Type II errors and power analysis
- Multi-factor analysis of variance in SPSS
- Multivariate and univariate analysis in PRIMER/PERMANOVA
- A primer to quantitative fisheries 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.
Learning outcomes and graduate attributes
|On completion of this unit, students should be able to:||GA1||GA2||GA3||GA4||GA5||GA6||GA7|
|1||Interpret, summarise, analyse and graphically represent scientific data using SPSS||Intellectual rigour||Knowledge of a discipline|
|2||Interpret, analyse and graphically represent scientific data using PRIMER/PERMANOVA||Intellectual rigour||Knowledge of a discipline|
|3||Design appropriate experiments to address key issues in marine or forestry science||Intellectual rigour||Creativity||Knowledge of a discipline||Lifelong learning|
|4||Critically evaluate of the experimental design and statistical analysis of published scientific papers||Intellectual rigour||Knowledge of a discipline||Lifelong learning|
Teaching and assessment
Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Commencing 2017 Commonwealth Supported only. Student contribution band: 2
Please check the international course and fee list to determine the relevant fees.