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This season, the probability that the Yankees will win a game is 0.51 and the probability that the Yankees will score 5 or more runs in a game is 0.52 . The probability that the Yankees lose and score fewer than 5 runs is 0.37 . What is the probability that the Yankees would score fewer than 5 runs when they win the game? Round your answer to the nearest thousandth.
Answer:

This season, the probability that the Yankees will win a game is 00.5151 and the probability that the Yankees will score 55 or more runs in a game is 00.5252 . The probability that the Yankees lose and score fewer than 55 runs is 00.3737 . What is the probability that the Yankees would score fewer than 55 runs when they win the game? Round your answer to the nearest thousandth.\newlineAnswer:

Full solution

Q. This season, the probability that the Yankees will win a game is 00.5151 and the probability that the Yankees will score 55 or more runs in a game is 00.5252 . The probability that the Yankees lose and score fewer than 55 runs is 00.3737 . What is the probability that the Yankees would score fewer than 55 runs when they win the game? Round your answer to the nearest thousandth.\newlineAnswer:
  1. Events Denoted: Let's denote the events as follows:\newlineW: The Yankees win a game.\newlineS: The Yankees score 55 or more runs in a game.\newlineL: The Yankees lose a game.\newlineF: The Yankees score fewer than 55 runs in a game.\newlineWe are given the following probabilities:\newlineP(W)=0.51P(W) = 0.51 (Yankees win)\newlineP(S)=0.52P(S) = 0.52 (Yankees score 55 or more runs)\newlineP(L and F)=0.37P(L \text{ and } F) = 0.37 (Yankees lose and score fewer than 55 runs)\newlineWe want to find P(FW)P(F|W), which is the probability that the Yankees score fewer than 55 runs given that they win the game.\newlineFirst, we need to find P(F)P(F), the probability that the Yankees score fewer than 55 runs in a game. We can use the complement rule since P(S)P(S) is the probability of scoring 55 or more runs:\newlineP(F)=1P(S)P(F) = 1 - P(S)\newlineP(F)=10.52P(F) = 1 - 0.52\newlineP(F)=0.48P(F) = 0.48
  2. Find P(F)P(F): Next, we need to find P(W and F)P(W \text{ and } F), which is the probability that the Yankees win and score fewer than 55 runs. We can find this by subtracting the probability of losing and scoring fewer than 55 runs from the probability of scoring fewer than 55 runs:\newlineP(W and F)=P(F)P(L and F)P(W \text{ and } F) = P(F) - P(L \text{ and } F)\newlineP(W and F)=0.480.37P(W \text{ and } F) = 0.48 - 0.37\newlineP(W and F)=0.11P(W \text{ and } F) = 0.11
  3. Find P(W and F)P(W \text{ and } F): Now, we can calculate P(FW)P(F|W), the probability that the Yankees score fewer than 55 runs given that they win, using the definition of conditional probability:\newlineP(FW)=P(W and F)P(W)P(F|W) = \frac{P(W \text{ and } F)}{P(W)}\newlineP(FW)=0.110.51P(F|W) = \frac{0.11}{0.51}\newlineP(FW)0.2157P(F|W) \approx 0.2157

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