Session 1 (am): Statistics and Data Insight
The morning session will introduce participants to data and how it is commonly used / misused. We will look at how data is measured, and how it can be summarised. We will look at how data is distributed and why this is important to understanding statistical testing. Data presentation methods will also be looked at, describing the correct way of presenting different types of data. Finally the two key study designs will be introduced which will provide the foundations for the afternoon session.
Session 2 (pm): Statistics and Data Insight
The afternoon session will introduce the most common statistical tests related to the study designs and data types we have discussed. We will discuss how the role of chance affects results and how to interpret them. We will then look at other ways to present and interpret data, including stratification and standardisation of data, time series data and correlation of variables. Lastly we will revisit the results tables from our research paper and use what we have learned to interpret the results.