Data analysis is a key process for making data useful. Mistakes in analysis can cloud interpretation and distract from important results. In this session TA providers will discuss key considerations in selecting and using statistical analyses. The focus is on approaches to both describing data and making inferences from data, with specific attention on the role of statistical testing in interpretation.
Published by: DaSy
Presentation: Examining Data to Identify Meaningful Difference