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Keyboard: 1–4 pick • E = Explain • R = Sim 1000
Bayes Bay NEW
Given prevalence, sensitivity, and specificity, find posteriors like P(Disease | positive) using Bayes’ theorem.
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| Test + | Test − | Total | |
|---|---|---|---|
| Disease | — | — | — |
| No disease | — | — | — |
| Total | — | — | — |
What is P(Disease | +)?
Bayes: P(D|+) = (sens·prev) / [sens·prev + (1−spec)·(1−prev)].
Simulation samples people with given prevalence and test characteristics.
Round: 1/10
Score: 0
Best: 0
Timer: —