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.
By the end of this course you will be able to:
- Identify and distinguish between categorical and numerical variables
- Select the relevant statistical tools and describe the types of summary appropriate for categorical and quantitative variables
- Produce a chart using a five-number summary, called a box plot
- Recognise and represent the structure of a dataset by identifying the groups occurring in the study units
- Explain what is meant by the mean and median of a set of data, and know when to use each measure
- Explain measures of variability (or dispersion) such as quartiles and standard deviation.
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