Statistics is an area of much demand nationally. To satisfy this we have 7 Statistical Methods for Research modules as detailed overleaf.
Licences are limited for these modules, so you may be allocated a place on a waiting list, please contact the Researcher Development Unit for further information on email@example.com
Statistical Methods for Research is designed to provide users with a strong foundation in statistics, covering key areas such as confidence intervals, hypothesis testing and statistical modelling.
The programme provides the vast majority of users with the statistics they will need to complete their research reports, and provides users with the statistics they need to understand and evaluate the statistical test models they will use in their research.
Taking a cross-disciplinary approach and compatible with all major statistics packages, this programme will be rich with scenarios, practical applications and interactive statistical models and will be supported by optional peer-to-peer online forums and interaction.
The course is based on the design of a highly successful course from the University of Reading that has recorded an average improvement of 122% in students’ performances.
By the end of this course you will be able to:
- Assess how much you already know about Statistics
- State what the Statistical Methods for Research programme covers
- Explain how Statistics can contribute to your research project
- Outline the stages of a modern statistical investigation
Recognise that there are two parts to a statistical model, written as Data = Pattern + Residual.
The statistics modules are available in 5 versions
- Biomedical sciences
- Engineering and technology
- Natural Sciences
- Social Sciences