Question

36. State Bayes' theorem on probability.
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Answer 1

Answer:

In probability theory and statistics, Bayes' theorem(alternatively Bayes' law or Bayes' rule; recently Bayes-Price theorem[1])), named after Reverend Thomas Bayes, describes the probability of an event, based on prior knowledge of conditions that might be related to the event.[2] For example, if the risk of developing health problems is known to increase with age, Bayes' theorem allows the risk to an individual of a known age to be assessed more accurately (by conditioning it on their age) than simply assuming that the individual is typical of the population as a whole.