An organization selected 2400 families at random and surveyed them to determine a relationship between income level and the number of vehicles in a family. The information gathered is listed in the table below:
Suppose a family is chosen, find the probability that the family chosen is (i) earning Rs 10000−13000 per month and owning exactly 2 vehicles.
(ii) earning Rs 16000 or more per month and owning exactly 1 vehicle.
(iii) earning less than Rs 7000 per month and does not own any vehicle.
(iv) earning Rs 13000−16000 per month and owning more than 2 vehicles.
(v) owning not more than 1 vehicle.
Given, number of total families surveyed =2400
Probability of an event A is P(A)=n(A)n(S)
Where, n(A)= total number of elements in A
n(S)= total number of elements in sample space(S),
In this case n(S)=2400
(i) Number of families earning Rs 10000−13000 per month and owning exactly 2 vehicles n(A)=29
Hence, required probability is ∴P(A)=292400
(ii) Number of families earning Rs 16000 or more per month and owning exactly 1 vehicle n(A)=579
Hence, required probability, P(A)=5792400
∴P(A)=193800
(iii) Number of families earning less than Rs 7000 per month and does not own any vehicle n(A)=10
Hence, required probability, P(A)=102400
∴P(A)=1240
(iv) Number of families earning Rs 13000−16000 per month and owning more than 2 vehicles n(A)=25
Hence, required probability, P(A)=252400
∴P(A)=12400
(v) Number of families owning not more than 1 vehicle n(A)=10+160+0+305+1+535+2+469+1+579=2062
Hence, required probability, P(A)=20612400
∴P(A)=10311200