{ "ok": true, "resource": { "id": "RES_AFD6CDE1F765", "resource_type": "skill", "canonical_url": "https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/statistical-analysis", "name": "statistical-analysis", "summary_en": "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. 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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. 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