Asked by Jamiyah Green on Sep 26, 2024

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Bayes' Law is a formula for revising an initial subjective (prior)probability value on the basis of new results,thus obtaining a new (posterior)probability value.

Prior Probability

The probability of an event or hypothesis before new evidence is taken into account.

Posterior Probability

The probability of an event or hypothesis being true after taking into consideration new evidence or information.

Bayes' Law

A theorem in probability theory used to update the probability of a hypothesis as more evidence or information becomes available.

  • Engage Bayes' Law to evaluate posterior and prior probabilities.
  • Understand the significance and application of Bayes' Law in revising probabilities based on new information.
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Xavier Maldonado2 days ago
Final Answer :
True
Explanation :
This is the correct definition of Bayes' Law.