Given that \(X\) follows a binomial distribution with parameters \(12\) and \(p\), where \(q = 1 - p\). The expression \(\sum_{x=0}^{12}(x - 12p)^2 \cdot {}^{12}C_x \cdot q^{12-x} \cdot p^x = \frac{8}{3}\) is the variance of the binomial distribution, which is known to be \(12pq\). Set this equal to the given expression:
\[12pq = \frac{8}{3}\]
Thus, we solve for \(pq\):
\[pq = \frac{2}{9}\]
Given, \(P(X>10) = \left(\frac{2}{3}\right)^K\), which implies:
\[P(X>10) = P(X=11) + P(X=12)\]
Calculating individual probabilities using the binomial probability formula:
\[\begin{aligned} P(X=11) &= {}^{12}C_{11} \cdot p^{11} \cdot q^1 \\ &= 12p^{11}q \end{aligned}\]
\[\begin{aligned} P(X=12) &= {}^{12}C_{12} \cdot p^{12} \\ &= p^{12} \end{aligned}\]
Therefore, the sum \(P(X = 11) + P(X = 12)\) is:
\[P(X>10) = 12p^{11}q + p^{12} = p^{11}(12q + p)\]
Since \(q = 1 - p\), replace \(q\) to get:
\[P(X>10) = p^{11}(12(1-p) + p) = p^{11}\{12 - 11p\}\]
Equate it to the given value of \(P(X>10)\):
\[p^{11}(12-11p) = \left(\frac{2}{3}\right)^K\]
To find the value of \(K\):
Set \(pq = \frac{2}{9}\). This condition with \(p^{11}(12-11p)\) implies substitutions for \(p\) and \(q\) which best satisfy both relations. Test with potential fixed ratios \(p= \frac{1}{3}\), \(q= \frac{2}{3}\):
\[P(X>10) = \left(\frac{1}{3}\right)^{11}(12-\frac{11}{3}) = \frac{1}{3}\left(\frac{2}{3}\right)^{11}\left(\frac{25}{3}\right)\]
Substitute and simplify the expression:
\[(\frac{2}{3})^{K} = \frac{1}{3}\cdot\left(\frac{2}{3}\right)^{11}\cdot\frac{25}{3}\]
Equate powers of the same base \(\left(\frac{2}{3}\right)\):
\[K = \frac{14}{3}\]
Thus, the value of \(K\) is \(\dfrac{14}{3}\).
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.