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In an experiment, the probability that event AA occurs is 15\frac{1}{5}, the probability that event BB occurs is 79\frac{7}{9}, and the probability that events AA and BB both occur is 745\frac{7}{45}. \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 15\frac{1}{5}, the probability that event BB occurs is 79\frac{7}{9}, and the probability that events AA and BB both occur is 745\frac{7}{45}. \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 Product of Probabilities: First, calculate the product of P(A)P(A) and P(B)P(B). \newlineP(A)×P(B)=15×79P(A) \times P(B) = \frac{1}{5} \times \frac{7}{9}
  3. Multiply Probabilities: Now, do the multiplication.\newline(15)×(79)=745(\frac{1}{5}) \times (\frac{7}{9}) = \frac{7}{45}
  4. Compare Results: Next, compare this result to the given probability of AA and BB occurring together, which is 745\frac{7}{45}.
  5. Confirm Independence: Since 745\frac{7}{45} equals 745\frac{7}{45}, the product of P(A)P(A) and P(B)P(B) is equal to P(A and B)P(A \text{ and } B).
  6. Conclusion: Therefore, events AA and BB are independent because the multiplication of their individual probabilities equals the probability of them occurring together.

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