Overview

This topic develops skill sets that empower the student to understand experimental design and statistics used in natural sciences and apply those skills to develop a robust experimental design for their research project.The topic provides a firm basis in experimental design, and an understanding of the philosophy of statistical analysis … For more content click the Read More button below.

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Tuition pattern

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Aims

This topic aims to provide research training for Honours students in Natural Sciences:

  • Understand principles of experimental design and the statistical analyses commonly used in natural sciences
  • Use "The R Project for Statistical Computing" to analyse data in natural sciences
  • Critically reviewing experimental design and statistics in scientific publications
  • Prepare and evaluate the experimental design for their own research project
  • Evaluate experimental design used in other research projects

Learning outcomes

On completion of this topic you will be expected to be able to:
1.
Develop a firm basis for experimental design in research in natural sciences
2.
Gain a firm understanding of the philosophy and methodology that are the foundations of statistical analyses
3.
Visualize the results of the most commonly used statistical techniques and transmit those results to others by the use of two-, or occasionally three-dimensional graphs
4.
Gain practical experience in analysing data using graphs and statistics using "The R Project for Statistical Computing"
5.
Develop an outline and evaluated the experimental design and statistical methods they intended to use in their research project
6.
Be familiar with, and have experience at, critically reviewing experimental design and statistical analyses in oral presentations and research papers
7.
Gain valuable experience in problem solving and optimising experimental design

Assessments

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Requisites information

Pre-requisites:
Anti-requisites: