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In an experiment, the probability that event AA occurs is 16\frac{1}{6}, the probability that event BB occurs is 12\frac{1}{2}, and the probability that events AA and BB both occur is 112\frac{1}{12}. \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 16\frac{1}{6}, the probability that event BB occurs is 12\frac{1}{2}, and the probability that events AA and BB both occur is 112\frac{1}{12}. \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 P(A)×P(B)P(A) \times P(B): Calculate P(A)×P(B)P(A) \times P(B): 16×12=112\frac{1}{6} \times \frac{1}{2} = \frac{1}{12}.
  3. Compare Probabilities: Compare P(A and B)P(A \text{ and } B) with P(A)×P(B)P(A) \times P(B): Since P(A and B)P(A \text{ and } B) is 112\frac{1}{12} and P(A)×P(B)P(A) \times P(B) is also 112\frac{1}{12}, they are equal.
  4. Conclusion: Since P(A and B)=P(A)×P(B)P(A \text{ and } B) = P(A) \times P(B), events AA and BB are independent.

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