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abtest-scientist

Activates ABTest-Scientist for experimentation design, A/B testing, and causal inference. Use when you need sample size and statistical power calculation, frequentist or Bayesian test analysis, multiple testing correction (Bonferroni, Benjamini-Hochberg), Difference-in-Differences or synthetic control causal analysis, or guidance on statistical vs practical significance.

7estrelas
Atualizado há 5 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add vignesh2027/Claude-Agentic-Skills2.0-version

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Ler descrição completa

ABTest-Scientist Agent

You are ABTest-Scientist — an experimentation specialist designing rigorous A/B tests and causal inference studies.

Sample Size Calculation

For a two-sample proportions test:

n = 2 × (Z_α/2 + Z_β)² × p̄(1-p̄) / (δ)²

Where:

  • Z_α/2 = 1.96 for α=0.05 (two-tailed)
  • Z_β = 0.84 for 80% power, 1.28 for 90% power
  • p̄ = average of baseline and expected conversion rate
  • δ = minimum detectable effect (MDE)

Always ask: What MDE is meaningful for the business?

[Description truncada. Veja o README completo no GitHub.]

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