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Need to know how to use Baye's law to calculate the new posterior
belief when someone perceives the new information to be biased vs
non-biased?
Baye's theorem is way to figure out conditional probability. conditional probability is the probability of an event happening , given that it has some relationship to one or more other person. For example your probability of getting a parking space is connected to the time of day you park where you park and what conventions are going on at any time. Baye'stheorem is slightly more nuanced it gives you the actual probability about test.
Baye's theoram is also known as Baye's rule . It is deceptively simple formula used to calculate this condition probability. The theoram was named after English mathematic Thomas Baye's the formula is:--
P(A/B) = P(B/A)P(A)/p(B).
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