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Unit of Study STAT2003 - Data Collection and Quantitative Analysis (2024)

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Unit Snapshot

  • Enrolment information

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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

Availabilities

Location Domestic International
Gold Coast
Term4
Term4
Lismore
Term4
Term4
Melbourne N/A
Term4
National Marine Science Centre Coffs Harbour
Term4
Term4
Online
Term4
N/A
Perth N/A
Term4
Sydney N/A
Term4

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:

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.

Prescribed learning resources

Prescribed Texts
  • No prescribed texts.
Prescribed Resources/Equipment

  • You will need access to a Windows, MacOS or Linux computer and install the software package R (https://www.r-project.org/).

Prescribed Learning Resources may change in future Teaching Periods.