> For the complete documentation index, see [llms.txt](https://docs.nannyml.com/cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nannyml.com/cloud/v0.24.0/experiments-module.md).

# Experiments Module

- [Introduction](https://docs.nannyml.com/cloud/v0.24.0/experiments-module/introduction.md): What is experiment module and when to use it.
- [Tutorials](https://docs.nannyml.com/cloud/v0.24.0/experiments-module/tutorials.md)
- [Running an A/B test](https://docs.nannyml.com/cloud/v0.24.0/experiments-module/tutorials/running-an-a-b-test.md): How to use NannyML to run an A/B test.
- [Data Preparation](https://docs.nannyml.com/cloud/v0.24.0/experiments-module/tutorials/data-preparation.md): Preparing your experimental data for NannyML
- [How it works](https://docs.nannyml.com/cloud/v0.24.0/experiments-module/how-it-works.md)
- [Getting probability distribution of the difference of binary downstream metrics](https://docs.nannyml.com/cloud/v0.24.0/experiments-module/how-it-works/getting-probability-distribution-of-the-difference-of-binary-downstream-metrics.md): This page describes how NannyML gets posterior distribution of a downstream metric that is binary.