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On a Saturday night, `20%` of all drivers in U.S.A. are under the influence fo alcohol. The probability that a driver under the influence of alcohol will have an accident is `0.001.`The probability that a sober driver will have an accident is `0.0001.` If a car on a Saturday night smashed into a tree, the probability tht athe driver was under the influence of alcohol is

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On a Saturday night, 20%of all drivers in U.S.A. are under the influence of alcohol. The probability that a drive under the influence of alcohol will have an accident is 0.001. The probability that a sober drive will have an accident is 0.00. if a car on a Saturday night smashed into a tree, the probability that the driver was under the influence of alcohol is 3//7 b. 4//7 c. 5//7 d. 6//7

An insurance company insured 1500 scooter drivers, 2500 car drivers and 4500 truck drivers. The probability of a scooter, a car and a truck meeting with an accident is 0.01, 0.02 and 0.04 respectively. If one of the insured persons meets with an accident, find the probability that he is a scooter driver.

An insurance company insured 2000 scooter drivers, 4000 car drivers and 6000 truck drivers. The probability of an accidents are 0.01, 0.03 and 0.15 respectively. One of the insured persons meets with an accident. What is the probability that he is a scooter driver?

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An insurance company insured 2000 scooter drivers, 4000 car drivers and 6000 truck drivers. The probability of an accidents are 0.01, 0.03 and 0.15 respectively. One of the insured persons meets with an accident. What is the probability that he i

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An insurance company insured 2000 scooter drivers, 4000 car drivers and 6000 truck drivers. The probability of an accident involving a scooter, a car and a truck are 0.01, 0.03 and 0.15 respectively. One of the insured persons meets with an accident. What is the probability that he is a scooter driver.

An insurance company selected 2000 drivers at random in a particular city to find a relationship between age and accidents. The obtained are given in the following table: Age of Drivers (in years) Accidents in one year 0 1 2 3 over 3 18-29 30-50 above 50 440 505 360 160 125 45 110 60 35 61 22 15 35 18 9 Find the probability of the following events for a driver chosen at random from the life city: i) being 18-29 years of age and having exactly 3 accidents in one year. ii) being 30-50 years of age and having one or more accidents in a year. iii) having no accidents in one year.