Notebooks for analyzing your processed data, plus reference guides for choosing the right test — the Navigational Guide to Statistical Methods and a print-ready decision-tree poster.
Prerequisites: Module 00B, plus processed data from 01A or 01B
Estimated time: ~8–12 hours
After this module you can choose an appropriate statistical test, run it, and interpret the result (including mixed-effects models for repeated-measures data).
| Notebook | What it covers |
|---|---|
| Classical Statistical Tests | Hypothesis-testing logic, t-tests, ANOVA, correlation, regression, and non-parametric alternatives |
| Intro to Linear Mixed-Effects Models | Why simple t-tests are not enough; fitting and interpreting LMMs for repeated-measures behavioral data |
| Helper - Finding Local Extremum in Data | Trimming time-series data files at a detected event or inflection point |
Reference guides in this folder:
Navigational Guide to Statistical Methods — a dictionary that maps a research question and data features to the appropriate test.
Test-Selection Decision-Tree — a print-ready (PDF) as well as editable vector poster for quick at-a-glance test selection.