Ex 13.3, 7 - Chapter 13 Class 12 Probability
Last updated at Dec. 16, 2024 by Teachoo
Bayes theorem
Ex 13.3, 2 Important
Ex 13.3, 3
Misc 3
Ex 13.3, 4 Important
Ex 13.3, 9
Ex 13.3, 5
Ex 13.3, 13 (MCQ) Important
Example 21 Important
Ex 13.3, 6 Important
Ex 13.3, 10 Important
Example 18 Important
Example 17 Important
Ex 13.3, 7 You are here
Ex 13.3, 8 Important
Example 19 Important
Ex 13.3, 11
Ex 13.3, 12 Important
Example 24 Important
Example 20 Important
Example 22 Important
Misc 6
Misc 10 Important
Misc 7 Important
Bayes theorem
Last updated at Dec. 16, 2024 by Teachoo
Ex 13.3, 7 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?Let S : Scooter driver met with accident C : Car driver met with accident T : Truck driver met with accident A : the driver is insured We need to find the Probability that the person met with an accident is a scooter driver, if he is insured i.e. P(S"|"A) P(S"|"A) = (𝑃(𝑆) . 𝑃(𝐴|𝑆))/(𝑃(𝑆) . 𝑃(𝐴|𝑆)+𝑃(𝐶) . 𝑃(𝐴|𝐶)+𝑃(𝑇) . 𝑃(𝐴|𝑇)) P(S) = Probability that a scooter driver met with an accident = 𝟎.𝟎𝟏 P(A|S) = Probability that a scooter driver is insured = 2000/( 2000 + 4000 + 6000 ) =2000/12000=𝟏/𝟔 P(C) = Probability that a car driver met with an accident = 𝟎.𝟎𝟑 P(A|C) = Probability that a car driver is insured = 4000/( 2000 + 4000 + 6000 ) =4000/12000=𝟏/𝟑 P(T) = Probability that a Truck driver met with an accident = 𝟎.𝟏𝟓 "P(A|T)" = Probability that a Truck driver is insured = 6000/( 2000 + 4000 + 6000 ) =6000/12000=𝟏/𝟐 Putting values in formula, 𝑃("S|" 𝐴) = (𝟎.𝟎𝟏 × 𝟏/𝟔)/(𝟎.𝟎𝟏 × 𝟏/𝟔 + 𝟎.𝟎𝟑 × 𝟏/𝟑 + 𝟎.𝟏𝟓 × 𝟏/𝟐) = (0.01 × 1/6)/( 0.01 [1/6 + 3 × 1/3 +15 × 1/2] ) = (1/6)/( 1/6 + 1 + 15/2 ) = (1/6)/(52/( 6 ) ) = 𝟏/𝟓𝟐 Therefore, required probability is 1/52