# Statistical tests with Airflow
URL: https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/time-series/test-airflow.html

> 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.

# Statistical tests with Airflow

[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.

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