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Conditional probability is a measure of ...
Q.
Conditional probability is a measure of the probability of an event given that another
A.
true
B.
false
Answer» A. true
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Conditional probability is a measure of the probability of an event given that another event has already occurred.
Conditional probability is a measure of the probability of an event given that another event has already occurred.
Bayes Theorem is given by where 1. P(H) is the probability of hypothesis H being true. 2. P(E) is the probability of the evidence(regardless of the hypothesis). 3. P(E|H) is the probability of the evidence given that hypothesis is true. 4. P(H|E) is the probability of the hypothesis given that the evidence is there.
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Based on survey , it was found that the probability that person like to watch serials is 0.25 and the probability that person like to watch netflix series is 0.43. Also the probability that person like to watch serials and netflix sereis is 0.12. what is the probability that a person doesn't like to watch either?
Based on survey , it was found that the probability that person like to watch serials is 0.25 and the probability that person like to watch netflix series is 0.43. Also the probability that person like to watch serials and netflix sereis is 0.12. what is the probability that a person doesn't like to watch either?
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Given a rule of the form IF X THEN Y, rule confidence is defined as the conditional probability that Select one: