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In an experiment, the probability that event AA occurs is 56\frac{5}{6}, the probability that event BB occurs is 13\frac{1}{3}, and the probability that events AA and BB both occur is 518\frac{5}{18}. \newlineAre AA and BB independent events? \newlineChoices: \newline(A) yes \newline(B) no

Full solution

Q. In an experiment, the probability that event AA occurs is 56\frac{5}{6}, the probability that event BB occurs is 13\frac{1}{3}, and the probability that events AA and BB both occur is 518\frac{5}{18}. \newlineAre AA and BB independent events? \newlineChoices: \newline(A) yes \newline(B) no
  1. Check for Independence: To check if events AA and BB are independent, we need to see if the probability of AA and BB occurring together (P(A and B)P(A \text{ and } B)) is equal to the product of their individual probabilities (P(A)×P(B)P(A) \times P(B)).
  2. Calculate Product of Probabilities: First, calculate the product of P(A)P(A) and P(B)P(B). \newlineP(A)×P(B)=(56)×(13)P(A) \times P(B) = \left(\frac{5}{6}\right) \times \left(\frac{1}{3}\right)
  3. Multiply the Probabilities: Now, do the multiplication.\newline(56)×(13)=518(\frac{5}{6}) \times (\frac{1}{3}) = \frac{5}{18}
  4. Compare Results: Next, compare this result to the given probability of A and B occurring together, which is P(A and B)=518P(A \text{ and } B) = \frac{5}{18}.
  5. Events AA and BB are Independent: Since P(A)×P(B)=P(A and B)P(A) \times P(B) = P(A \text{ and } B), the events AA and BB are independent.

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