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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 18\frac{1}{8}, and the probability that events AA and BB both occur is 124\frac{1}{24}. \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 13\frac{1}{3}, the probability that event BB occurs is 18\frac{1}{8}, and the probability that events AA and BB both occur is 124\frac{1}{24}. \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): 13×18=124\frac{1}{3} \times \frac{1}{8} = \frac{1}{24}.
  3. Compare Probabilities: Compare P(A)×P(B)P(A) \times P(B) with P(A and B)P(A \text{ and } B): Since P(A)×P(B)=124P(A) \times P(B) = \frac{1}{24} and P(A and B)=124P(A \text{ and } B) = \frac{1}{24}, they are equal.
  4. Verify Independence: Since P(A)×P(B)P(A) \times P(B) equals P(A and B)P(A \text{ and } B), events AA and BB are independent.

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