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🧪 Research Hypothesis Testing Simulation

Run hundreds of simulated experiments at once and watch Type I / Type II errors, statistical power and the false discovery rate emerge as you tune sample size, effect size, the share of real effects, and the correction method (none, Bonferroni, Benjamini-Hochberg).

Mathematics2DModerate60 FPS📱 Mobile-adapted

This simulator runs 224 independent experiments at once — a bank of simulated scientific studies, each with its own random sample. Some experiments secretly test a real effect; others test nothing at all. Every experiment produces a p-value from its own noisy data, and a pillar rises to mark how strong that evidence looks. Tune the sample size, the true effect size, and the mix of real-vs-null hypotheses, then switch between no correction, Bonferroni, and Benjamini-Hochberg to watch statistical power and the false discovery rate trade off in real time — the same forces that drive underpowered research toward false "discoveries" in the real world.

⚙ Under the hood

This simulation guides users through the process of formulating a hypothesis, designing an experiment to test it, and analyzing the results. It illustrates key concepts in scientific methodology.

Hypothesis Testing

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install