Overview
Many investigations in aquaculture, biochemistry, botany, zoology, microbiology, molecular biology, genetics and ecology are quantitative, with observations and experiments consisting of numerical facts called data. As biological entities have to be counted and measured, some objective methods are necessary to aid the investigator in presenting and analysing research data. Before … For more content click the Read More button below.
Topic availabilities
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Tuition pattern
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Aims
The educational aims of the topic are for the students to get an in depth understanding of the importance of collecting and analysing data when doing research in Biological Sciences.
Learning outcomes
On completion of this topic you will be expected to be able to:
1.
Design experiments and sampling regime for a specific scientific project
2.
Collect in depth data in the field or laboratory
3.
Apply appropriate advanced statistical tests to analyse data
4.
Analyse and graph data using Excel and SPSS
5.
Communicate a scientific report using both written and oral communication skills
Assessments
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Requisites information
Pre-requisites:
Anti-requisites:
Assumed knowledge
Competent understanding of first year university level statistical concepts