🧪 Experimental Design Lab: 2D Group Comparison
Interactive 2D strip plot of a two-group experiment showing how sample size, effect size, noise, a hidden confounder, biased allocation and an unblinded observer change the Welch t-test, confidence interval, p-value and statistical power, with 500-run repeated-experiment histograms and a power curve.
⚙ Under the hood
Interactive 2D strip plot of a two-group experiment showing how sample size, effect size, noise, a hidden confounder, biased allocation and an unblinded observer change the Welch t-test, confidence interval, p-value and statistical power, with 500-run repeated-experiment histograms and a power curve.
experimental designstatisticsstatistical powerrandomisationblindingconfounding
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install