statistical-power-calculator
CommunityCalculate statistical power & sample size
Education & Research#hypothesis testing#statistics#sample size#t-test#power analysis#experimental design
Authordkyazzentwatwa
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the critical need for robust experimental design by enabling users to calculate statistical power and determine appropriate sample sizes, ensuring research is adequately powered to detect meaningful effects.
Core Features & Use Cases
- Power Calculation: Determine the probability of detecting a true effect.
- Sample Size Determination: Calculate the minimum sample size needed for a desired level of power.
- Effect Size Estimation: Estimate the minimum detectable effect size given power and sample size.
- Multiple Test Types: Supports t-tests, proportion tests, ANOVA, and chi-square tests.
- Use Case: A researcher planning a clinical trial can use this Skill to determine the exact number of participants needed to achieve 80% power in detecting a specific treatment effect, given a significance level of 0.05.
Quick Start
Use the statistical power calculator to determine the required sample size per group for a t-test with an effect size of 0.5, 5% significance, and 80% power.
Dependency Matrix
Required Modules
scipystatsmodelsnumpy
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: statistical-power-calculator Download link: https://github.com/dkyazzentwatwa/chatgpt-skills/archive/main.zip#statistical-power-calculator Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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