Introduces statistical methods required for environmental management, the different types of variables, descriptive statistics and tests of significance (chi-square, t-test, correlation and regression and analysis of variance). Emphasis is placed on choosing a suitable type of data and using an appropriate statistical method in an environmental management setting.
- Review of descriptive statistics: data types, number skills, rounding, significant figures, presentation of different variable types and use of scientific calculators
- Measures of central tendency: mean, mode and median
- Measures of dispersion, variance and standard deviation
- Experimental and survey design
- The normal distribution
- Confidence intervals
- Hypotheses testing, student's t test and chi square
- Linear regression
- One-way analysis of variance
- Two-way analysis of variance
- Human and animal care and ethics
- Data management skills for statistics.
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||show recognition of the different types of variables used in environmental science/management (nominal, ordinal, discrete and continuous)||Knowledge of a discipline|
|2||calculate means, standard deviations, variance and chi square, using a scientific calculator||Knowledge of a discipline|
|3||propose a suitable research question, develop methodologies that would lead to collection of the correct type of data and perform appropriate statistical tests for an investigation relevant to environmental science/management||Intellectual rigour||Knowledge of a discipline||Lifelong learning|
|4||state the null hypothesis, calculate required values and interpret the following statistical tests, chi square, t test, correlation, regression and analysis of variance for research questions relevant to environmental science/management||Intellectual rigour||Knowledge of a discipline|
|5||explain the difference between a population and a sample and have a basic understanding of key concepts, symbols and terms relevant to survey and experimental design||Knowledge of a discipline|
|6||interpret the results of statistical tests and explain the consequences of Type I and Type II errors in tests of significance and explain the consequences of Type I and Type II errors to environmental management||Intellectual rigour||Knowledge of a discipline||Lifelong learning|
|7||interpret statistical tests of significance in environmental management problems.||Intellectual rigour||Knowledge of a discipline||Lifelong learning|
- No prescribed texts.
Teaching and assessment
|Structured online learning 5 hours (14 weeks)|
|Exam: open book||50%|
Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Commencing 2014 Commonwealth Supported only. Student contribution band: 2
Please check the international course and fee list to determine the relevant fees.