Description
statistical-analysis is an agent skill for guided statistical analysis of research data. It conducts hypothesis tests such as t-tests, ANOVA, chi-square and non-parametric tests, along with regression, correlation and Bayesian analyses. It checks assumptions systematically, calculates effect sizes, runs power analyses and reports results in APA style. The skill begins by defining the estimand and the sampling units, then diagnoses the limits of the model, and reports the effect estimates together with their uncertainty. It is clear that numerical screens cannot certify that assumptions hold or that a finding is scientifically valid. Use it when you have experimental or observational data and need the right test, a check of its assumptions, the effect sizes and a report in the standard format. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 2,100 installs. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk. Install it with npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill statistical-analysis.…
Highlights
- Test selection and assumption checks
- Regression, correlation and Bayesian analyses
- Effect sizes and power analysis
- APA-style reporting
- Effect estimates with uncertainty
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statistical-analysis FAQ
What tests does it cover?
t-tests, ANOVA, chi-square, non-parametric tests, regression, correlation and Bayesian analyses.
Does it check assumptions?
Yes, systematically. The skill also says numerical screens cannot certify the assumptions.
What does it report?
Effect sizes and estimates with uncertainty, in APA style.
Where does it start?
By defining the estimand and the sampling units, and diagnosing the model's limits.
How do I install it?
Run npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill statistical-analysis.
Is it checked for security?
Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.
What are the best statistical-analysis alternatives?
Popular alternatives to statistical-analysis include statsmodels, nature-statistics and statistical-analysis. See all statistical-analysis alternatives