Availabilities:
2024 unit offering information will be available in November 2023
Unit description
Successful scientific surveys and experiments rely on a sound design, sampling strategy and analysis of data. This unit introduces students to intermediate-level concepts and practice for planning, implementing, analysing and interpreting surveys and experiments. The logical approach to survey design is emphasised and undertaken in practical exercises, which may involve working in groups. Common statistical methods and graphical illustration will be applied to the analysis of class data. It is expected that students undertaking this unit will have existing knowledge of introductory statistics and basic skills in data management.
Unit content
1) Introduction to R for data analysis and graphing
2) Experiment and survey design
3) Multiple regression
4) Multi-way ANOVA-designs and analysis
5) Multivariate analyses and ordination
6) Sampling and data collection methods
Learning outcomes
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 | identify principles of study design and recognise an array of sampling techniques |
| 2 | apply statistical software to explore data, perform hypothesis tests and illustrate results graphically |
| 3 | distinguish the operations of intermediate-level statistical analyses and select appropriate analyses for various studies and datasets |
| 4 | work collaboratively in a team and demonstrate skill in oral presentation. |
On completion of this unit, students should be able to:
- identify principles of study design and recognise an array of sampling techniques
- apply statistical software to explore data, perform hypothesis tests and illustrate results graphically
- distinguish the operations of intermediate-level statistical analyses and select appropriate analyses for various studies and datasets
- work collaboratively in a team and demonstrate skill in oral presentation.
Teaching and assessment
Fee information
Domestic
Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.
Fee paying courses
For postgraduate or undergraduate full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees
International
Please check the international course and fee list to determine the relevant fees.