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In an experiment, the probability that event AA occurs is 27\frac{2}{7}, the probability that event BB occurs is 37\frac{3}{7}, and the probability that events AA and BB both occur is 649\frac{6}{49}. \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 27\frac{2}{7}, the probability that event BB occurs is 37\frac{3}{7}, and the probability that events AA and BB both occur is 649\frac{6}{49}. \newlineAre AA and BB independent events? \newlineChoices: \newline(A) yes \newline(B) no
  1. Calculate individual probabilities: 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).P(A)×P(B)=(27)×(37)=649P(A) \times P(B) = \left(\frac{2}{7}\right) \times \left(\frac{3}{7}\right) = \frac{6}{49}.
  3. Compare probabilities: Now, compare P(A and B)P(A \text{ and } B) with P(A)×P(B)P(A) \times P(B). P(A and B)=649P(A \text{ and } B) = \frac{6}{49}, and we just calculated P(A)×P(B)=649.P(A) \times P(B) = \frac{6}{49}.
  4. Determine independence: 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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