Statistics
This unit introduces statistical analysis in Python using the Pingouin library, which provides comprehensive statistical reports in a user-friendly format. You will learn to perform various types of t-tests (one-sample, independent, and paired), conduct ANOVA and post-hoc pairwise comparisons, and apply corrections for multiple comparison. Through analysis of real behavioral neuroscience data, you’ll gain practical experience in hypothesis testing and interpreting statistical output.