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Bayes' Theorem

Calculate the probability of an event based on prior knowledge of conditions

P(A) — Prior Prob.

P(B|A) — Likelihood

P(B|not A) — False Positive Prob.

Posterior Probability P(A|B)

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Formula: P(A|B) = [P(B|A) × P(A)] / P(B)
Where P(B) = P(B|A)P(A) + P(B|not A)P(not A)

[include_logic file=”bayes-theorem-calculator.php”]

🧠

Bayes' Theorem

Calculate the probability of an event based on prior knowledge of conditions

P(A) — Prior Prob.

P(B|A) — Likelihood

P(B|not A) — False Positive Prob.

Posterior Probability P(A|B)

--

--

Formula: P(A|B) = [P(B|A) × P(A)] / P(B)
Where P(B) = P(B|A)P(A) + P(B|not A)P(not A)

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