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  • probability - What is the difference between $p(a,b)$ and $p . . .
    $p(a|b)$ = the probability of event a happens given that the event b happens The difference in words is critical None of these have the sense of causation that due to implies If b is unlikely, but a happens all the time b does, $p(a|b)$ can be quite high
  • Why is P(a or b) not equal to P(a) + P(b)? (each event is . . .
    If P(a or b) = P(a) + P(b), then P(a or b) would equal 9 10 Note how there are two elements shared in both a and b, {0,6}, and so they're counted twice This accounts for our 2 10 difference in the two answers
  • Conditional Probability - Math is Fun
    P (A) means "Probability Of Event A" In our marbles example Event A is "get a Blue Marble first" with a probability of 2 5: P (A) = 2 5 And Event B is "get a Blue Marble second" but for that we have 2 choices: So we have to say which one we want, and use the symbol "|" to mean "given":
  • [FREE] Explain the difference between P(A|B) and P(A) and P(B . . .
    Explain the difference between P (A∣B) and P (A) and P (B) given that events A and B are independent events In words, when A and B are independent, the probability of A given B is the same as the probability of A That is, the probability of B has no effect on the probability of A
  • P(A | B) - (AP Statistics) - Vocab, Definition, Explanations . . .
    P(A | B) represents the conditional probability of event A occurring given that event B has already occurred This term is crucial for understanding how the probability of one event can change based on the occurrence of another event, allowing for deeper insights into relationships between events
  • SOLUTION: How do I know the differences between P (A OR B . . .
    So P(A or B) is P(A) + P(B) - P(A and B) Now for P(A and B), both A and B have to happen for the outcome to be true So we have to account for the probability of A and then account for the probability of B P(A and B) = P(A) * P(B)





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