Statistics for Psychology & Neuroscience

Interactive info sheets

Welcome. This is the collected set of interactive info sheets for Statistics for Psychology & Neuroscience. Each sheet is self-contained: a short explanation in plain language, a hands-on interactive demo, and runnable R/Python code (with a MATLAB reference).

Use the sidebar to browse by topic, or follow the Related topics links at the foot of any sheet to jump between connected ideas. The search box (top of the sidebar) finds anything by keyword.

New here? Good places to start: Ordinary Least Squares (how a model finds the best line), One-Way ANOVA & the F-ratio (signal vs noise), or Fixed vs Random Effects (the doorway to mixed models).

How to read a sheet

Every sheet follows the same shape, so you always know where to look:

• What you’ll get — the objectives, up top.
• Key idea — the one thing to remember, in a blue box.
• An interactive — drag a slider or pick an option and watch the statistics respond.
• See it in code — the same idea in R, Python, and MATLAB; the R and Python tabs run live in the page.
• Check your understanding — a collapsible self-test.
• Common pitfall — the mistake to avoid, in an orange box.
• Related topics — where to go next.

Build status

Sheets are at different stages of completion — some are fully built with interactives and live code, others are still text drafts being brought up to the same standard. The most polished right now are the ANOVA, repeated-measures, mixed-effects, and PCA clusters.