Asked by Ashanta Williams on Sep 26, 2024
A posterior probability value is a prior probability value that has been:
A) modified on the basis of new information.
B) multiplied by a conditional probability value.
C) divided by a conditional probability value.
D) added to a conditional probability value.
Posterior Probability
The revised probability of an event occurring after taking into consideration new information.
Prior Probability
The probability of an event before new data or information is taken into account.
- Utilize Bayes' Law to calculate posterior and prior probabilities.
- Comprehend the importance and usage of Bayes' Theorem in updating probabilities upon receiving new data.
Learning Objectives
- Utilize Bayes' Law to calculate posterior and prior probabilities.
- Comprehend the importance and usage of Bayes' Theorem in updating probabilities upon receiving new data.
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