Examples for Effect Size Calculator & Interpretation Guide

Demonstrates the classic 'large sample trap' where statistical significance (p=0.008) masks a very small effect size (Cohen's h=0.018). Provides business impact scenarios at different traffic levels and a decision framework for implementation.

Analyzes a teaching methods comparison where the p-value narrowly misses significance (p=0.052) but the effect size (d=0.40) is educationally meaningful. Demonstrates interpreting non-significant results with substantial effect sizes and comparing to domain benchmarks.

Converts effect sizes from three studies using different metrics (correlation r, odds ratio, F-statistic) to Cohen's d for meta-analysis. Includes conversion formulas, assumptions, and ready-to-use methods text.