Question

A conditional probability is also known as a posterior probability, which is a revision of the prior probability using additional information.

Select one:

True

False

Answer 1

Posterior Probability :-

• A posterior probability, in Bayesian statistics, is the revised or updated probability of an event occurring after taking into consideration new information.
• The posterior probability is calculated by updating the prior probability using Bayes' theorem.
• In statistical terms, the posterior probability is the probability of event A occuring given that event B has occured.

Hence, the answer is TRUE.