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In an experiment, the probability that event AA occurs is 13\frac{1}{3}, the probability that event BB occurs is 23\frac{2}{3}, and the probability that events AA and BB both occur is 19\frac{1}{9}. Are 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 13\frac{1}{3}, the probability that event BB occurs is 23\frac{2}{3}, and the probability that events AA and BB both occur is 19\frac{1}{9}. Are 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 P(A)×P(B)P(A) \times P(B): Calculate P(A)×P(B)P(A) \times P(B): 13×23=29\frac{1}{3} \times \frac{2}{3} = \frac{2}{9}.
  3. Compare Probabilities: Compare P(A)×P(B)P(A) \times P(B) with P(A and B)P(A \text{ and } B): P(A and B)P(A \text{ and } B) is given as 19\frac{1}{9}, but we calculated P(A)×P(B)P(A) \times P(B) as 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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