1. Basics of statistics:
Analyzing categorical data, Displaying and comparing quantitative data, Summarizing quantitative data, Modeling data distributions, Exploring bivariate numerical data, Study design
Graphical and numerical summaries of data, reasoning behind the calculations, the assumptions under which they are valid, and the correct interpretation of results.
3. Central tendency and correlation (applications):
Correlation, Linear Models, Linear Models: Bias, Mann-Whitney Test, Meta-Analysis.