Final answer:
Using Bayes' Theorem, the probability that the person took the bus given he was late is approximately 0.418, which is option A.
Step-by-step explanation:
To find the probability that the person took the bus given he was late, we can apply Bayes' Theorem. Let's use the given percentages to denote the probabilities:
- P(Car) = 0.30
- P(Walk) = 0.30
- P(Bus) = 0.40
- P(Late|Car) = 0.03
- P(Late|Walk) = 0.10
- P(Late|Bus) = 0.07
We are looking for P(Bus|Late), the probability that he was on the bus given that he was late. Using Bayes' Theorem, this is calculated as:
P(Bus|Late) = (P(Late|Bus) * P(Bus)) / (P(Late|Bus) * P(Bus) + P(Late|Car) * P(Car) + P(Late|Walk) * P(Walk))
Plugging in the numbers:
P(Bus|Late) = (0.07 * 0.40) / ((0.07 * 0.40) + (0.03 * 0.30) + (0.10 * 0.30))
P(Bus|Late) = 0.028 / (0.028 + 0.009 + 0.030)
P(Bus|Late) = 0.028 / 0.067
P(Bus|Late) = 0.4179
The probability that he took the bus given he was late is approximately 0.418, which corresponds to option A.