Answer:
Step-by-step explanation:
Given that a fisherman catches fish according to a Poisson process with rate lambda = 0.6 per hour.
The fisherman will keep fishing for two hours.
Since he continues till he gets atleast one fish, we can calculate probability as follows:
(a) Find the probability that he stays for more than two hours.
= Prob (x=0) in I two hours and P(X≥1) in 3rd hour
=P(x=0)*P(X=0)*P(X≥1) (since each hour is independent of the other)
= ![0.5488^2*(1-0.8781)\\\\=0.2645](https://tex.z-dn.net/?f=0.5488%5E2%2A%281-0.8781%29%5C%5C%5C%5C%3D0.2645)
(b) Find the probability that the total time he spends fishing is between two and five hours.
Prob that he does not get fish in I two hours * prob he gets fish between 3 and 5 hours
=![P(0)^2 *F(1)^3\\=0.5488^2*0.2645^3\\=0.00557](https://tex.z-dn.net/?f=P%280%29%5E2%20%2AF%281%29%5E3%5C%5C%3D0.5488%5E2%2A0.2645%5E3%5C%5C%3D0.00557)
(c) Find the expected number offish that he catches.
Expected value in Geometric distribution =
, where p = prob of getting 1 fish in one hour
= ![\frac{0.6}{1-0.6} \\=3](https://tex.z-dn.net/?f=%5Cfrac%7B0.6%7D%7B1-0.6%7D%20%5C%5C%3D3)
(d) Find the expected total fishing time, given that he has been fishing for four hours.
= Expected fishing time total/expected fishing time for 4 hours
=3/0.6*4
= 1.25 hours