sample-size-estimation

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/sample-size-estimation

Estimates required sample size using power analysis for experiments

  • Solves the problem of determining sufficient sample size for statistical power
  • Relies on effect size, significance level, and design type inputs
  • Applies statistical formulas and assumptions to calculate power and sample size
  • Returns sample size estimate and detailed power analysis report

SKILL.md

.github/skills/sample-size-estimationView on GitHub ↗
---
name: sample-size-estimation
description: "SOP: power analysis and required experiment count estimation"
version: 1.0.0
category: experiment-execution
type: sop
execution: subagent
prompt: ./prompt.md
used-by:
  - factor-level-design
  - comparison-design
input: "Effect size estimate + significance level + statistical power requirement + experiment design type"
output: "Required sample size/repetition count + power analysis report"
---

# SOP: Sample Size Estimation

Determine required sample size or repetition count through power analysis, ensuring the experiment has sufficient statistical power to detect the expected effect.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent skill.

## Why Subagent

Sample size estimation requires multi-step calculations based on effect size, variance estimates, and design type, involving deep statistical reasoning suited for an independent subagent.

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