Computed statistical results

Statistical Analysis

Official pinned assumption_checks.py plus SciPy and Pingouin analyzed 60 synthetic observations with a planned Welch test, effect size and 10,000 bootstrap resamples. Interval crosses zero; no causal claim. Recording browses actual saved charts and estimates after execution, not the command process; original timing.

A recorded isolated example, not a hosted execution service or general compatibility/security certification.

Pinned original source ↗MIT · K-Dense Inc.593377bb048752abb0152deab9fbb1083a6087df

Before you install

Python 3.12+ and the isolated scientific Python environment described upstream.
A dataset, study design, variables and a clear research question.
Permission to install dependencies; check assumptions before interpreting tests.

Requires Python 3.12+ and scientific dependencies. Test selection depends on study design; it does not turn observational evidence into causal proof.

Codex

npx skills add https://github.com/K-Dense-AI/scientific-agent-skills/tree/593377bb048752abb0152deab9fbb1083a6087df/skills/statistical-analysis --skill statistical-analysis -a codex

Claude Code

npx skills add https://github.com/K-Dense-AI/scientific-agent-skills/tree/593377bb048752abb0152deab9fbb1083a6087df/skills/statistical-analysis --skill statistical-analysis -a claude-code