statistical-power-calculator

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

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/testing/statistical-power-calculator

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 power
python statistical_power_calculator.py --test ttest --n 100 --effect-size 0.5