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In an experiment, the probability that event AA occurs is 38\frac{3}{8}, the probability that event BB occurs is 17\frac{1}{7}, and the probability that events AA and BB both occur is 356\frac{3}{56}. \newlineAre AA and BB independent events? \newlineChoices: \newline(A) yes \newline(B) no

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Q. In an experiment, the probability that event AA occurs is 38\frac{3}{8}, the probability that event BB occurs is 17\frac{1}{7}, and the probability that events AA and BB both occur is 356\frac{3}{56}. \newlineAre AA and BB independent events? \newlineChoices: \newline(A) yes \newline(B) no
  1. Check Independence Criteria: 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)=(38)×(17)P(A) \times P(B) = \left(\frac{3}{8}\right) \times \left(\frac{1}{7}\right)
  3. Multiply Probabilities: Now, do the multiplication.\newline(38)×(17)=356(\frac{3}{8}) \times (\frac{1}{7}) = \frac{3}{56}
  4. Compare Results: Next, compare this result to the given probability of AA and BB occurring together, which is P(A and B)=356P(A \text{ and } B) = \frac{3}{56}.
  5. Events Independence Conclusion: 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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