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In an experiment, the probability that event AA occurs is 17\frac{1}{7}, the probability that event BB occurs is 89\frac{8}{9}, and the probability that events AA and BB both occur is 863\frac{8}{63}. \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 17\frac{1}{7}, the probability that event BB occurs is 89\frac{8}{9}, and the probability that events AA and BB both occur is 863\frac{8}{63}. \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)=17×89P(A) \times P(B) = \frac{1}{7} \times \frac{8}{9}
  3. Perform Multiplication: Now, do the multiplication.\newline(17)×(89)=863(\frac{1}{7}) \times (\frac{8}{9}) = \frac{8}{63}
  4. Compare Results: Next, compare this result to the given probability of A and B occurring together, which is P(A and B)=863P(A \text{ and } B) = \frac{8}{63}.
  5. Verify Independence: 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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