Source and test evidence
Reproducibility kit
Inspect and rerun the versioned calculation source and deterministic tests behind the interactive statistics experiments.
Published August 28, 2026 / Updated August 28, 2026
What this release contains
This public snapshot exposes the pure calculation layer used by the interactive labs, the deterministic tests that exercise it, and the exact runtime dependency needed to run those tests. The files are generated from the same source tree as publication build ertaiba-20260828T033904Z.
Publishing the files makes the work inspectable; it does not turn this page into an independent audit. The snapshot does not include server credentials, deployment configuration, analytics settings, or account data.
- Publication revision
- ertaiba-20260828T033904Z
- Calculation tests
- 17 deterministic and invariant checks
- Runtime
- Node.js 22.12 or newer
- External calculation dependency
- simple-statistics 7.10.1
Download the evidence
- 01
Calculation source
SHA-256
1289cc7e9d38c2f9ef94f21256e4498e939a1b258e0540b262b6bccb07423e9b - 02
Calculation tests
SHA-256
39559e1c7b4399800075de3eca6cb816f4cf46599150cf5fcfce8954f0ba5299 - 03
Runtime manifest
SHA-256
ba4f728d6900099becc6c90b9be3714c88e4b8ff6ad2841eaab9b67eb3c7b7cd - 04
Checksums and scope
Machine-readable file sizes, hashes, revision, test command, and limitations.
- 05
Plain-text instructions
Offline setup, run steps, file descriptions, and scope boundaries.
Run the checks locally
npm install --ignore-scripts
npm testPlace the five downloaded files in one directory before running the commands. The test file imports ./statistics.mjs, so the snapshot does not depend on this website being online after download.
What the tests cover
The checks include seed replay, distribution properties, histogram totals, sample-mean standard errors, Tukey outlier summaries, confidence-interval coverage, natural-frequency Bayes counts, weighted group rates, percentage changes, correlation examples, regression-to-the-mean selection, response mixtures, binary run lengths, axis scaling, and multiple-testing thresholds.
These are calculation and reproducibility checks. They do not prove that a teaching model is suitable for a real decision, that cited sources are error-free, or that the publication has been independently certified. Those boundaries remain part of the methodology and each guide.
Reuse and corrections
The files are public for inspection and reproduction. Public access does not grant a reuse license beyond applicable law. To report a discrepancy, email editorial@ertaiba.com with the revision, file name, expected result, and command output.