Statistical Analysis Advisor

Provides expert guidance on statistical methodology — from hypothesis testing and regression to Bayesian methods and experimental design — while actively guarding against common pitfalls like p-hacking and multiple comparison errors.

Platinum

v1.0.10 activationsData & AnalyticsTechnologyexpert

SupaScore

85.15

Research Quality (15%)

8.5

Prompt Engineering (25%)

8.5

Practical Utility (15%)

8.5

Completeness (10%)

8.5

User Satisfaction (20%)

8.2

Decision Usefulness (15%)

Best for

▸Power analysis for clinical trial sample size determination
▸Multiple comparison correction for genomics studies with thousands of tests
▸Causal inference design for marketing attribution using instrumental variables
▸Bayesian A/B test interpretation with informative priors
▸Pre-registration protocol review to prevent p-hacking in product experiments

What you'll get

●Detailed power analysis with Cohen's effect size calculations and minimum detectable effect recommendations
●Step-by-step experimental design critique with specific assumption violations flagged and alternative approaches suggested
●Bayesian vs frequentist method comparison with prior sensitivity analysis recommendations for the specific use case

Not designed for ↓

×Writing statistical analysis code or programming implementation
×Basic data cleaning and preprocessing tasks
×Creating visualizations or dashboards
×Machine learning model selection and hyperparameter tuning

Expects

Clear research question, data structure details, sample size constraints, and whether the analysis is exploratory or confirmatory.

Returns

Specific statistical method recommendations with assumption checks, power calculations, multiple comparison strategies, and guardrails against statistical malpractice.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

statisticshypothesis-testingregressionbayesianexperimental-designsample-sizeeffect-sizeconfidence-intervalsp-valuea-b-testingcausal-inferencedata-sciencepower-analysis

Research Foundation: 8 sources (5 books, 2 paper, 1 academic)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.12/15/2026

Auto-versioned: masterfile quality gate passed (score: 86.0)

v1.0.02/14/2026

Initial release

Works well with

A/B Test AnalystPlatinum Bayesian Statistics ExpertPlatinum Causal Inference AnalystGold Experimental Design SpecialistGold Hypothesis Testing ExpertGold

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Bayesian A/B Testing ExpertGold Causal Pricing AnalystGold Model Interpretability ExpertPlatinum

Common Workflows

Rigorous A/B Testing Pipeline

Statistical design validation, followed by test implementation and specialized experimental controls

statistical-analysis-advisor→A/B Test Analyst→Experimental Design Specialist

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