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🧪 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.

Physics & Mechanics2DModerate60 FPS📱 Mobile-adapted⇄ 3D version
2d-research-experimental-design-simulation ↗ Open standalone
⚙ 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

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