Asked by Maylen Bland on Apr 30, 2024
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In general,a posterior probability is calculated by adding the prior and likelihood probabilities.
Posterior Probability
The probability of an event or hypothesis after taking into consideration new evidence or information.
Prior Probabilities
The probabilities that are assigned to events or hypotheses before any relevant evidence is taken into account, used in Bayesian analysis.
Likelihood Probabilities
Measures of how probable different outcomes are, given a specific set of observed data, in statistical analysis.
- Execute calculations of posterior and prior probabilities using Bayes' Law.
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Learning Objectives
- Execute calculations of posterior and prior probabilities using Bayes' Law.
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