1) Analyzing statement (I):
For a Poisson process, given the event $N(5) = 5$, the distribution of $N(3)$ is binomial, as the number of events occurring in the first 3 units of time, given the total number of events in 5 units, follows a binomial distribution. The probability of $N(3) = 3$ given $N(5) = 5$ is: \[ P(N(3) = 3 \mid N(5) = 5) = \binom{5}{3} \left(\frac{3}{5}\right)^3 \left(\frac{2}{5}\right)^2. \] Thus, statement (I) is correct.
2) Analyzing statement (II):
The time of occurrence of the 5th event, $S_5$, in a Poisson process with rate 1 follows a Gamma distribution with shape parameter 5 and rate 1. The expected value of $S_5$, given that there are 3 events by time 5, is: \[ E(S_5 \mid N(5) = 3) = 7. \] Thus, statement (II) is also correct. Therefore, both statements (I) and (II) are true, and the correct answer is (C).
The probability of hitting the target by a trained sniper is three times the probability of not hitting the target on a stormy day due to high wind speed. The sniper fired two shots on the target on a stormy day when wind speed was very high. Find the probability that
(i) target is hit.
(ii) at least one shot misses the target. 
Smoking increases the risk of lung problems. A study revealed that 170 in 1000 males who smoke develop lung complications, while 120 out of 1000 females who smoke develop lung related problems. In a colony, 50 people were found to be smokers of which 30 are males. A person is selected at random from these 50 people and tested for lung related problems. Based on the given information answer the following questions: 
(i) What is the probability that selected person is a female?
(ii) If a male person is selected, what is the probability that he will not be suffering from lung problems?
(iii)(a) A person selected at random is detected with lung complications. Find the probability that selected person is a female.
OR
(iii)(b) A person selected at random is not having lung problems. Find the probability that the person is a male.