This is the fifth session of PhD+ Data Literacy: R series.
Data literacy includes statistical literacy. This means being able to calculate and interpret statistical summaries, estimate uncertainty, evaluate assumptions, and avoid falling prey to common statistical errors. In this session we learn how to use R to carry out essential statistical analyses such as comparing proportions and means, creating cross tabulations, estimating uncertainty, and using basic linear models to quantify relationships. We emphasize application and interpretation with minimal math. In addition, we will highlight sources of common statistical mistakes and how to avoid them.
Clay Ford, Senior Research Data Scientist, Research Data Services, UVA Library