**Duration: 2 days**

This course covers the basic methods of analysis needed for quantitative research. Most researchers would find the material covered would be sufficient to analyse any data gathered as part of their research (both categorical and continuous variables). No prior knowledge of statistics is assumed although you will require a basic knowledge of using SPSS and/or other statistical software packages e.g. knowledge gained from the above 'Introductory SPSS' course. The course uses sample data from the sciences and social sciences fields but the application is relevant to all subject areas. Topics covered include:

- Sampling
- â€‹Data analysis - an overview; Types of data; Scales of data measurement; Coding questionnaire data
- Describing data using graphical and numerical methods
- Normal Probability distributions
- Coding questionnaire data
- Confidence Intervals and Hypothesis Testing (Parametric and non-parametric)
- Multivariable analysis - Qualitative (categorical) variables; Chi-squared Tests
- Multivariable analysis - Quantitative (continuous) variables - Scatter plots, correlation and regression.

**This course is taught by an experienced statistician - advice can be sought during the course for specific research/statistics queries. Introduction to Design of Experiments
Duration: 1 **

This is a new course being offered by the Statistical Consulting Unit. It covers the principles of DOE but at an introductory level. It would be useful for anyone new to research in the sciences that needs to understand these principles before planning their research. It will cover simple DOE techniques, when they are applicable, how to design efficient experiments and an introduction to analysing the results. During the day you will also be introduced to a simple DOE package. It will not be possible in one day to look at more complicated designs but you will be introduced to enough methodology to be able to investigate these further if needed.