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Unit of study_

ODAT5021: Study Design and Analysis

2025 unit information

A successful data analyst, scientist or data manager must have the ability to collect, analyse and interpret data in robust and meaningful ways. Central to this skillset is the ability to create hypotheses and test these using rigorous processes. This unit introduces the key concepts of study design and analysis. You will learn to formulate experimental aims, collect, interpret and analyse data to test specific hypotheses, and draw evidence-based conclusions. You will develop the skills and understanding of concepts such as controls, replicates, sample size, dependent and independent variables, and good research practice such as blinding and randomisation. You will emerge with a comprehensive understanding of how to optimise a product or web design and determining the effectiveness of new programs or solutions to understand if the observed changes in your data are systematic or if they may have happened by chance.

Unit details and rules

Managing faculty or University school:

Science

Study level Postgraduate
Academic unit Mathematics and Statistics Academic Operations
Credit points 6
Prerequisites:
? 
None
Corequisites:
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None
Prohibitions:
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None
Assumed knowledge:
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Fundamentals of statistics and coding in R, e.g. ODAT5011: Data Analytics Foundations

At the completion of this unit, you should be able to:

  • LO1. Describe and identify the basic features of an experimental design.
  • LO2. Analyse data using appropriate linear and generalised linear models in R.
  • LO3. Describe and visualise the features and interpretations of linear and generalised linear models.
  • LO4. Critique experimental designs and modelling choices in a range of scenarios.
  • LO5. Explain and justify statistical design considerations, modelling processes and conclusions effectively to a variety of audiences.
  • LO6. Plan, execute and analyse a study using real-world data.

Unit availability

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Session MoA ?  Location Outline ? 
PG Online Session 1A 2025
Online Online Program
There are no availabilities for previous years.

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Modes of attendance (MoA)

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