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Statistical tests in Python with pywayne v1.0.0

Use this resource to run hypothesis tests, A/B comparisons or regression diagnostics in Python

New

  • 508 downloads
  • 184 likes
  • 182 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install statistical-tests-python-library

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent picks the right test class, runs the test and reads the p-value, statistic, confidence interval and effect size. You get a result in the same format for every method.

Mostly picked by

Updated November 2, 2026

Card for the “Statistical tests in Python with pywayne” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: test categories and examples
  • SKILL.md: assumptions to check before each test

Good fit for

  • You compare two variants of an A/B test
  • You want to check normality before a t-test

Not for

    Tags

    • statistics
    • tests
    • p-value
    • a/b
    • python

    About

    You say

    “Compare these two groups with a t-test and tell me whether the difference is significant.”

    Card for the “Statistical tests in Python with pywayne” skill

    Skill published by wangyendt under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to run hypothesis tests, A/B comparisons or regression diagnostics in Python
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md10 KB

    Origin and licence

    Listed unmodified

    Author
    wangyendt
    Source
    github.com/wangyendt/wayne-skills/tree/072d00f36c1216c1151b753bde19481e93a631f1/pywayne/statistics
    Licence
    MIT

    Notice

    « pywayne-statistics » (wangyendt, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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