For K-12 Students · Bayesian Inference
Bayesian Inference for a Bayesian update
Built for k-12 students learning it in middle or high school. Watch the idea come alive with plain-language steps and everyday examples — perfect for projects and homework. Simulate a Bayesian update live below — adjust the inputs and watch it respond, right in your browser.
Bayesian InferenceLive
prior × likelihood → posterior
Controls
Presets
Bayesian inference updates a prior belief with data to form a posterior. For a coin, a Beta prior combined with binomial coin flips gives a Beta posterior — the conjugate update is just adding heads to α and tails to β. Watch the posterior sharpen and shift as evidence accumulates.
Data Inspector
Posterior mean0.667
Posterior SD0.094
Posterior α, β16.0, 8.0
Governing equation
Reading this result: The posterior mean 0.667 sits between the prior mean 0.500 and the observed rate 0.700; with 20 flips versus 4.0 pseudo-counts, the data dominates and pulls the estimate toward the evidence.
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Frequently asked questions
- Is this good for k-12 students?
- Yes — this version of "Bayesian Inference for a Bayesian update" is framed for k-12 students learning it in middle or high school. Watch the idea come alive with plain-language steps and everyday examples — perfect for projects and homework.
- Do I need to install anything?
- No. It runs in any modern browser, free, with no account required.