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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 23\frac{2}{3}, and the probability that events AA and BB both occur is 16\frac{1}{6}. \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 12\frac{1}{2}, the probability that event BB occurs is 23\frac{2}{3}, and the probability that events AA and BB both occur is 16\frac{1}{6}. \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):(12)×(23)=13.P(A) \times P(B): \left(\frac{1}{2}\right) \times \left(\frac{2}{3}\right) = \frac{1}{3}.
  3. Compare Probabilities: Compare P(A)×P(B)P(A) \times P(B) with P(A and B)P(A \text{ and } B): 13\frac{1}{3} is not equal to 16.\frac{1}{6}.
  4. Conclusion: Since P(A)×P(B)P(A) \times P(B) is not equal to P(A and B)P(A \text{ and } B), events AA and BB are not independent.

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