# Statistical tests with Airflow

> Statistical tests with Airflow - Review an example workflow for carrying out statistical tests,
> notify stakeholders of any issues via Slack, and generate automated compliance documentation with
> the test results.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-06T18:17:09.586453+00:00` (UTC).

## Primary page

- [Statistical tests with Airflow](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/time-series/test-airflow.html): Full documentation for this topic (HTML).

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page.
- [AI accelerators](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/index.html): Linked from this page.
- [Time series and specific use cases](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/time-series/index.html): Linked from this page.

## Documentation content

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/blob/shu/stat-tests/advanced_ml_and_api_approaches/stat_test_airflow/stat_test_airflow.ipynb)

This notebook presents an example workflow for carrying out statistical tests, notifying stakeholders of any issues via Slack, and generating automated compliance documentation with the test results.

It will demonstrate how to create a pipeline of statistical tests, at different stages of the model development cycle, and integrate with Apache Airflow, including:

- Using exploratory statistical tests as part of model training.
- Scoring a DataRobot model.
- Running any arbitrary statistical tests.
- Registering the test results to the model version.
- Generating automated compliance documentation using customized templates.
- Creating the pipeline with Apache Airflow.