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At LaGuardia Airport for a certain nightly flight, the probability that it will rain is 0.09 and the probability that the flight will be delayed is 0.07 . The probability that it will not rain and the flight will leave on time is 0.86 . What is the probability that the flight would be delayed when it is raining? Round your answer to the nearest thousandth.
Answer:

At LaGuardia Airport for a certain nightly flight, the probability that it will rain is 00.0909 and the probability that the flight will be delayed is 00.0707 . The probability that it will not rain and the flight will leave on time is 00.8686 . What is the probability that the flight would be delayed when it is raining? Round your answer to the nearest thousandth.\newlineAnswer:

Full solution

Q. At LaGuardia Airport for a certain nightly flight, the probability that it will rain is 00.0909 and the probability that the flight will be delayed is 00.0707 . The probability that it will not rain and the flight will leave on time is 00.8686 . What is the probability that the flight would be delayed when it is raining? Round your answer to the nearest thousandth.\newlineAnswer:
  1. Events Denotation: Let's denote the events as follows:\newlineR: It will rain.\newlineD: The flight will be delayed.\newline\(\newlineeg R\): It will not rain.\newline\(\newlineeg D\): The flight will leave on time.\newlineWe are given the following probabilities:\newlineP(R)=0.09P(R) = 0.09\newlineP(D)=0.07P(D) = 0.07\newlineP(\(\newlineeg R \text{ and } \newlineeg D) = 0.86\)\newlineWe need to find the probability that the flight would be delayed when it is raining, which is P(DR)P(D|R).\newlineFirst, we need to find P(R and D)P(R \text{ and } D), the probability that it will rain and the flight will be delayed. We can use the Complement Rule and the Addition Rule of Probability to find this.\newlineThe Complement Rule states that P(A) = 1 - P(\(\newlineeg A)\), and the Addition Rule states that P(A or B)=P(A)+P(B)P(A and B)P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B).\newlineWe can find P(R or D)P(R \text{ or } D) by using the Complement Rule on \(\newlineeg D\)00:\newline\(\newlineeg D\)11
  2. Find P(R and D)P(R \text{ and } D): Now, we can use the Addition Rule to find P(R and D)P(R \text{ and } D):P(R and D)=P(R)+P(D)P(R or D)=0.09+0.070.14P(R \text{ and } D) = P(R) + P(D) - P(R \text{ or } D) = 0.09 + 0.07 - 0.14
  3. Calculate P(R and D)P(R \text{ and } D): Let's calculate P(R and D)P(R \text{ and } D):P(R and D)=0.09+0.070.14=0.02P(R \text{ and } D) = 0.09 + 0.07 - 0.14 = 0.02
  4. Find P(DR)P(D|R): Finally, we can find P(DR)P(D|R), the probability that the flight would be delayed when it is raining, by using the definition of conditional probability:\newlineP(DR)=P(R and D)P(R)P(D|R) = \frac{P(R \text{ and } D)}{P(R)}
  5. Calculate P(DR)P(D|R): Let's calculate P(DR)P(D|R):P(DR)=0.020.09P(D|R) = \frac{0.02}{0.09}
  6. Calculate P(DR)P(D|R): Let's calculate P(DR)P(D|R):P(DR)=0.020.09P(D|R) = \frac{0.02}{0.09}After performing the division, we get:P(DR)0.222P(D|R) \approx 0.222

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