F79MB - Statistical Models B
Course leader(s):
Aims
In this module students will
- develop the ability to understand and solve practical statistical problems
- learn how to choose appropriate statistical techniques in order to analyse data
- learn to use an appropriate computer package to implement the relevant statistical techniques
- develop report writing and presentation skills
- develop independent research skills
Syllabus
1. Checking the fit of distributions to data
2. Non-parametric estimation
3. Linear models
4. Generalised Linear Models
5. Single classifications: Binary classifications, Qualitative categories, Ordered categories, Goodness-of-fit tests for frequency distributions
6. Applied statistical project
Learning outcomes
By the end of the course, students should be able to do the following:
- construct statistical models appropriate for practical problems.
- analyse data using appropriate graphical and summary techniques for exploratory data analysis in statistical computer software, such as R.
- model discrete and continuous response variables with one or more explanatory variables.
- evaluate the appropriateness of models such as Multiple Linear Regression, Generalized Linear Models, etc., for problems relating to socio-economic, health, environmental sustainability, and so forth.
- produce a clear and well-structured report for dissemination to a diverse audience.
Further details
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SCQF Level: 9
Credits: 15
