Evidence before equations

Data laboratory

Real statistical work begins by finding out what the records measure, where they came from, which values are missing, and what an analysis would actually describe.

Early release: The first fully documented exercise uses historical New York environmental measurements already distributed with R. The dataset is accessed through R, not copied or relicensed by this website.
Real environmental observations · 1973

New York air quality

153 daily records, six variables, missing ozone and solar readings, and an instructive multiple regression. Inspect the collection before fitting anything.

Open the field notebook →
Historical observational study · 1986

Kidney-stone treatments

Published aggregate outcomes demonstrate why pooled success percentages can reverse their ordering inside relevant subgroups.

Examine the paradox →
Statistical computing · Browser R

Write the analysis

Run the supplied base-R scripts on your device, inspect the results, or write your own. No account or remote computation service is needed.

Open R Workbench →