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This season, the probability that the Yankees will win a game is 0.53 and the probability that the Yankees will score 5 or more runs in a game is 0.49 . The probability that the Yankees win and score 5 or more runs is 0.39 . What is the probability that the Yankees will win when they score fewer than 5 runs? Round your answer to the nearest thousandth.
Answer:

This season, the probability that the Yankees will win a game is 00.5353 and the probability that the Yankees will score 55 or more runs in a game is 00.4949 . The probability that the Yankees win and score 55 or more runs is 00.3939 . What is the probability that the Yankees will win when they score fewer than 55 runs? Round your answer to the nearest thousandth.\newlineAnswer:

Full solution

Q. This season, the probability that the Yankees will win a game is 00.5353 and the probability that the Yankees will score 55 or more runs in a game is 00.4949 . The probability that the Yankees win and score 55 or more runs is 00.3939 . What is the probability that the Yankees will win when they score fewer than 55 runs? 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.\newlineWe are given the following probabilities:\newlineP(W)=0.53P(W) = 0.53 (Probability that the Yankees will win a game)\newlineP(S)=0.49P(S) = 0.49 (Probability that the Yankees will score 55 or more runs in a game)\newlineP(W and S)=0.39P(W \text{ and } S) = 0.39 (Probability that the Yankees win and score 55 or more runs)\newlineWe need to find the probability that the Yankees will win when they score fewer than 55 runs, which can be denoted as P(W and not S)P(W \text{ and not } S).
  2. Find Probability not S: First, we need to find the probability that the Yankees score fewer than 55 runs, which is the complement of the event SS. The complement rule states that P(not S)=1P(S)P(\text{not } S) = 1 - P(S).\newlineSo, P(not S)=10.49=0.51P(\text{not } S) = 1 - 0.49 = 0.51.
  3. Calculate P(W not S)P(W | \text{ not } S): Now, we can use the formula for conditional probability to find P(W not S)P(W | \text{ not } S), which is the probability that the Yankees win given that they score fewer than 55 runs. The formula is:\newlineP(W not S)=P(W and not S)P(not S).P(W | \text{ not } S) = \frac{P(W \text{ and not } S)}{P(\text{not } S)}.\newlineWe already have P(not S)P(\text{not } S), but we need to find P(W and not S)P(W \text{ and not } S). We can find this by subtracting P(W and S)P(W \text{ and } S) from P(W)P(W), because P(W)P(W) includes all wins, both with 55 or more runs and with fewer than 55 runs.\newlineSo, P(W not S)P(W | \text{ not } S)00
  4. Round to Nearest Thousandth: Now we can calculate P(Wnot S)P(W | \text{not } S) using the values we have: P(Wnot S)=P(W and not S)P(not S)=0.140.51.P(W | \text{not } S) = \frac{P(W \text{ and not } S)}{P(\text{not } S)} = \frac{0.14}{0.51}. Calculating this gives us P(Wnot S)0.2745.P(W | \text{not } S) \approx 0.2745.
  5. Round to Nearest Thousandth: Now we can calculate P(Wnot S)P(W | \text{not } S) using the values we have: P(Wnot S)=P(W and not S)P(not S)=0.140.51P(W | \text{not } S) = \frac{P(W \text{ and not } S)}{P(\text{not } S)} = \frac{0.14}{0.51}. Calculating this gives us P(Wnot S)0.2745P(W | \text{not } S) \approx 0.2745.We round the answer to the nearest thousandth as requested: P(Wnot S)0.275P(W | \text{not } S) \approx 0.275.

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