Biometrics
Maths
A course by
Lincoln University
An introduction to computer packages for data visualisation and analysis, with a focus on statistical methods, experimental design, and analysis of biological data using software such as Excel and Minitab.
In-person study
Face-to-face learning in a physical classroom setting
Lincoln University, Lincoln
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Describe principles of experimental design
Explain and apply principles underlying good experimental design in biological research.
Apply appropriate statistical methods
Identify and select suitable statistical techniques for various experimental data scenarios.
Interpret scientific literature
Understand statistical terminology and numerical information presented in scientific research.
What You're Signing Up For
QMET 201 - Biometrics introduces students to the principles and practice of good experimental design and statistical analysis for biological data. The course covers appropriate use of software packages (Excel, Minitab) for data visualisation, numerical summaries, statistical analysis, and reporting. Students will develop skills in identifying suitable statistical methods, interpreting scientific literature, and designing studies.
Course Content
- Principles of good experimental design
- Statistical methods for experimental data
- Interpretation of statistical terms and data in scientific literature
- Designing scientific studies
- Using Excel and Minitab for data analysis
- Producing numerical summaries and graphical displays
- Performing statistical analysis of biological data
- Interpreting and reporting statistical analyses
What you need to know first
Minimum of 75 credit points from any level 100, 200 or 300 course
What sort of industry will this job lead to
Biological Research
Statistics
Data Analysis
Future employment opportunities might be
Research assistant
Laboratory analyst
Data analyst
Bio-statistician
Scientific research roles in agriculture, biology, and related sectors
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