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This season, the probability that the Yankees will win a game is 0.61 and the probability that the Yankees will score 5 or more runs in a game is 0.49 . The probability that the Yankees lose and score fewer than 5 runs is 0.3 . What is the probability that the Yankees will lose when they score 5 or more runs? Round your answer to the nearest thousandth.

This season, the probability that the Yankees will win a game is 0.610.61 and the probability that the Yankees will score 55 or more runs in a game is 0.490.49. The probability that the Yankees lose and score fewer than 55 runs is 0.30.3. What is the probability that the Yankees will lose when they score 55 or more runs? Round your answer to the nearest thousandth.

Full solution

Q. This season, the probability that the Yankees will win a game is 0.610.61 and the probability that the Yankees will score 55 or more runs in a game is 0.490.49. The probability that the Yankees lose and score fewer than 55 runs is 0.30.3. What is the probability that the Yankees will lose when they score 55 or more runs? Round your answer to the nearest thousandth.
  1. Define Events: Let's define the events:\newlineW: Yankees win a game.\newlineL: Yankees lose a game.\newlineS: Yankees score 55 or more runs.\newlineWe know:\newlineP(W)=0.61P(W) = 0.61\newlineP(S)=0.49P(S) = 0.49\newlineP(L and not S)=0.3P(L \text{ and not } S) = 0.3\newlineFirst, find P(L)P(L) using the complement of P(W)P(W):\newlineP(L)=1P(W)=10.61=0.39P(L) = 1 - P(W) = 1 - 0.61 = 0.39
  2. Calculate P(L)P(L): Next, calculate P(L or not S)P(L \text{ or not } S) using the complement of P(S)P(S):P(L or not S)=1P(S)=10.49=0.51P(L \text{ or not } S) = 1 - P(S) = 1 - 0.49 = 0.51
  3. Find P(L or not S)P(L \text{ or not } S): Now, use the Inclusion-Exclusion Principle to find P(L and S)P(L \text{ and } S):P(L and S)=P(L)+P(S)P(L or not S)=0.39+0.490.51=0.37P(L \text{ and } S) = P(L) + P(S) - P(L \text{ or not } S) = 0.39 + 0.49 - 0.51 = 0.37

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