statistical-analysis

SUMMARY

What it does

A guided statistical analysis skill for research data. It provides a structured workflow for hypothesis testing (t-tests, ANOVA, chi-square, non-parametric), regression, correlation, and Bayesian analysis, including assumption checking, effect size calculation, power analysis, and APA-style reporting. The skill includes bundled reference guides and Python scripts for assumption checks. It is designed for use by AI agents to conduct rigorous, reproducible statistical analyses. The source is a Markdown file (SKILL.md) from the GitHub repository K-Dense-AI/scientific-agent-skills, inspected at commit 1e5eeffbdad3749125afe7ab48a39694e27f181c. The skill declares an MIT license and is authored by K-Dense Inc. The source content includes installation instructions for Python libraries (pingouin, scipy, statsmodels, pymc, arviz), a detailed analysis workflow, test selection guidance, assumption checking procedures, code examples for running tests, effect size and power analysis guidance, and reporting templates. It also includes references to additional files (references/ and scripts/) that are part of the skill repository but were not inspected in this record.