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In an experiment, the probability that event AA occurs is 12\frac{1}{2}, the probability that event BB occurs is 49\frac{4}{9}, and the probability that events AA and BB both occur is 19\frac{1}{9}. \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 12\frac{1}{2}, the probability that event BB occurs is 49\frac{4}{9}, and the probability that events AA and BB both occur is 19\frac{1}{9}. \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 Individual Probabilities: Calculate P(A)×P(B)P(A) \times P(B): (12)×(49)=418=29(\frac{1}{2}) \times (\frac{4}{9}) = \frac{4}{18} = \frac{2}{9}.
  3. Compare Probabilities: Compare P(A and B)P(A \text{ and } B) with P(A)×P(B)P(A) \times P(B): P(A and B)P(A \text{ and } B) is 19\frac{1}{9}, while P(A)×P(B)P(A) \times P(B) is 29\frac{2}{9}.
  4. Conclusion: Since P(A and B)P(A \text{ and } B) is not equal to P(A)×P(B)P(A) \times P(B), events AA and BB are not independent.

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