statistical-analysis
This skill guides users through selecting appropriate statistical tests, checking assumptions, running analyses, and generating APA-formatted reports. It includes decision trees, code examples, and detailed reporting templates for common research scenarios like t-tests, ANOVA, regression, and Bayesian methods.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install k-dense-ai-claude-scientific-skills-statistical-analysis
Repository
Skill path: scientific-skills/statistical-analysis
This skill guides users through selecting appropriate statistical tests, checking assumptions, running analyses, and generating APA-formatted reports. It includes decision trees, code examples, and detailed reporting templates for common research scenarios like t-tests, ANOVA, regression, and Bayesian methods.
Open repositoryBest for
Primary workflow: Research & Ops.
Technical facets: Full Stack, Data / AI, Tech Writer, Testing.
Target audience: Research teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: K-Dense-AI.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install statistical-analysis into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/K-Dense-AI/claude-scientific-skills before adding statistical-analysis to shared team environments
- Use statistical-analysis for research workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.