Statistics & Probability · Level 2 of 5
Bayes' Theorem
A rule for updating probabilities using evidence and prior probabilities.
Posterior probability is proportional to likelihood times prior probability.
Example
A rare-event estimate combines test evidence with the event's base rate.
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Audio transcript
Bayes' Theorem. A rule for updating probabilities using evidence and prior probabilities. Posterior probability is proportional to likelihood times prior probability. For example: A rare-event estimate combines test evidence with the event's base rate.
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Why it matters
This helps you interpret numerical evidence without overstating what it establishes.
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