statistical-power

What problem does it solve?

This Skill helps you justify how many subjects, samples, or replicates you need before collecting data, so you can avoid underpowered studies, wasted resources, and weak claims.

Core Features & Use Cases

• Closed-form power analysis for standard designs such as two-sample t-tests, paired tests, ANOVA, proportions, correlations, chi-square, and regression.
• Simulation-based power for complex studies including logistic or Poisson regression, mixed models, clustered trials, survival analysis, mediation, and interactions.
• Study-planning support for a priori sample-size estimates, minimum detectable effects, power curves, attrition adjustments, and sensitivity analyses for grants, IRB protocols, and preregistrations.

Quick Start

Ask the skill to calculate the sample size or power for your planned study using your effect size, alpha level, target power, and design details.