An insurance company insured 2000 scooter drivers, 3000 car drivers and 5000 truck
drivers. The probabilities that scooter, car and truck drivers meet an accident are 0.02, 0.04, and 0.25 respectively. One of the insured persons meets with an accident. What is the probability that he is a
a) Scooter driver
b) Car driver
This is a problem based on Bayes' Theorem, which helps us find the probability of an event given prior probabilities. ### Given Data: - Total insured persons = \( 2000 + 3000 + 5000 = 10,000 \) - Probabilities of accidents for each type of driver: - Scooter drivers: \( P(A | S) = 0.02 \) - Car _____ _______ _____ ___ ____ ____.
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An insurance company insured 2000 scooter drivers, 3000 car drivers and 5000 truck
drivers. The probabilities that scooter, car and truck drivers meet an accident are 0.02, 0.04, and 0.25 respectively. One of the insured persons meets with an accident. What is the probability that he is a
a) Scooter driver
b) Car driver