Agent skill · Workflow & Productivity

statistical-power-calculator

Use when asked to calculate statistical power, determine sample size, or plan experiments for hypothesis testing.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill statistical-power-calculator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Path: skills/analysis/statistical-power-calculator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Statistical Power Calculator Calculate statistical power and determine required sample sizes for hypothesis testing and experimental design. ## Purpose Experiment planning for: - Clinical trial design - A/B test planning - Research study sizing - Survey sample size determination - Power analysis and validation ## Features - **Power Calculation**: Calculate statistical power for tests - **Sample Size**: Determine required sample size for desired power - **Effect Size**: Estimate detectable effect size - **Multiple Tests**: t-test, proportion test, ANOVA, chi-square - **Visualizations**: Power curves, sample size charts - **Reports**: Detailed analysis reports with recommendations ## Quick Start ```python from statistical_power_calculator import PowerCalculator # Calculate required sample size calc = PowerCalculator() result = calc.sample_size_ttest( effect_size=0.5, alpha=0.05, power=0.8 ) print(f"Required n per group: {result.n_per_group}") # Calculate power power = calc.power_ttest(n_per_group=100, effect_size=0.5, alpha=0.05) ``` ## CLI Usage ```bash # Calculate sample size for t-test python statistical_power_calculator.py --test ttest --effect-size 0.5 --power 0.8 # Calculate

What's inside
Steps it walks through
  1. Purpose
  2. Features
  3. Quick Start
  4. CLI Usage
Ships with 1 file
  • metadata.json
Commands it runs
Calculate sample size for t-test
python statistical_power_calculator.py --test ttest --effect-size 0.5 --power 0.8
Calculate power
python statistical_power_calculator.py --test ttest --n 100 --effect-size 0.5
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About this skill
What does the statistical-power-calculator skill do?

Use when asked to calculate statistical power, determine sample size, or plan experiments for hypothesis testing.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill statistical-power-calculator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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