Asked by esmeralda valdivia munguia on Sep 26, 2024

verifed

Verified

In applying Bayes' Law,as the prior probabilities increase,the posterior probabilities decrease.

Posterior Probabilities

The probabilities assigned to outcomes or hypotheses after taking into account known data and a priori probabilities.

Prior Probabilities

Represent the probabilities of different outcomes before any evidence is considered, often used in Bayesian statistics.

Bayes' Law

A statistical theorem that describes the probability of an event, based on prior knowledge of conditions related to the event.

  • Adopt Bayes' Law to figure out posterior and prior probabilities.
verifed

Verified Answer

TP
Taylor Ponderabout 4 hours ago
Final Answer :
False
Explanation :
In applying Bayes' Law, as the prior probabilities increase, the posterior probabilities also increase. This is because the prior probabilities represent our initial belief or knowledge about the likelihood of an event occurring, and as we gather more evidence or information, our belief becomes more certain (i.e., the posterior probabilities increase).