statistical-analysis
Skill for guided statistical analysis: test selection, effect sizes, power.
About
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.
At a glance
- Made for
- Business teams
- Pricing
- Free
- Access
- No sign-in
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Capabilities
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Provenance
- Discovered
- Relayed by github
- Identifier
- urn:air:github.com:k-dense-ai:scientific-agent-skills:statistical-analysis
- Catalog host
- github.com · via github registry
- Anchor check
- Not anchored
- Last crawled
- seen 9d ago
Discovered through github.com's registry, not anchored by StealthStack. We relay the listing as-is; we have not checked that the URN authority matches the publishing host. How trust works →