Step 1: Write the equations for mean and variance of a binomial distribution.
For a binomial distribution, let \(n\) be the number of trials and \(p\) be the probability of success.
The mean (\(\mu\)) is given by \(\mu = np\).
The variance (\(\sigma^2\)) is given by \(\sigma^2 = np(1-p)\).
Given:
Mean = \(x\) \(\implies np = x\)
Variance = \(5\) \(\implies np(1-p) = 5\)
Step 2: Solve for \(p\) in terms of \(x\).
Substitute \(np = x\) into the variance equation:
\[ x(1-p) = 5 \] Since \(x\) is given to be an integer and the variance is 5 (a positive value), \(x\) must be positive.
From the definition of probability, \(0 < p < 1\). This implies \(0 < 1-p < 1\).
From \(x(1-p) = 5\), we can write \(1-p = \frac{5}{x}\).
Since \(0 < 1-p < 1\), we must have: \[ 0 < \frac{5}{x} < 1 \] Since \(5 > 0\), for \(\frac{5}{x} > 0\), we must have \(x > 0\).
For \(\frac{5}{x} < 1\), and knowing \(x > 0\), we can multiply by \(x\) without changing the inequality direction:
\[ 5 < x \] So, \(x\) must be an integer greater than 5. Now, we can find \(p\): \[ p = 1 - \frac{5}{x} = \frac{x-5}{x} \] Since \(x > 5\), \(x-5 > 0\), so \(p > 0\). Also, \(x-5 < x\), so \(p < 1\). Thus, \(0 < p < 1\) is satisfied for \(x > 5\).
Step 3: Solve for \(n\) in terms of \(x\).
We know \(np = x\), so \(n = \frac{x}{p}\).
Substitute the expression for \(p\):
\[ n = \frac{x}{\frac{x-5}{x}} = \frac{x^2}{x-5} \] For a binomial distribution, \(n\) must be a positive integer.
We need \(\frac{x^2}{x-5}\) to be an integer.
We can perform polynomial division or algebraic manipulation: \[ n = \frac{x^2 - 25 + 25}{x-5} = \frac{(x-5)(x+5) + 25}{x-5} \] \[ n = (x+5) + \frac{25}{x-5} \] For \(n\) to be an integer, \((x-5)\) must be a divisor of 25.
The positive divisors of 25 are 1, 5, 25.
Since \(x\) is an integer and \(x > 5\), \(x-5\) must be a positive integer.
We consider the possible values for \(x-5\):
1. If \(x-5 = 1 \implies x = 6\).
In this case, \(p = \frac{6-5}{6} = \frac{1}{6}\), and \(n = 6+5 + \frac{25}{1} = 11 + 25 = 36\). (Valid)
2. If \(x-5 = 5 \implies x = 10\).
In this case, \(p = \frac{10-5}{10} = \frac{5}{10} = \frac{1}{2}\), and \(n = 10+5 + \frac{25}{5} = 15 + 5 = 20\). (Valid)
3. If \(x-5 = 25 \implies x = 30\).
In this case, \(p = \frac{30-5}{30} = \frac{25}{30} = \frac{5}{6}\), and \(n = 30+5 + \frac{25}{25} = 35 + 1 = 36\). (Valid)
Thus, the possible integer values for \(x\) are 6, 10, and 30.
The final answer is \(\boxed{6, 10, 30}\).
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.