When solving problems involving binomial probabilities, the key is recognizing the symmetry in binomial coefficients. \( {K \choose r} = {K \choose K - r} \), which helps simplify problems like this one. Always pay attention to conditions that relate different probabilities (such as equal probabilities for 3 heads and 7 heads in this case), and use the symmetry to find the total number of tosses. Once you have the number of tosses, the rest is just applying the binomial formula!
The number of tosses $K$ satisfies the condition:
$P(3 \text{ heads}) = P(7 \text{ heads})$.
The probability of $r$ heads in $K$ tosses is:
$P(r) = {K \choose r} \left(\frac{1}{2}\right)^K$.
Equating $P(3) = P(7)$:
${K \choose 3} = {K \choose 7}$.
$84 = {K \choose 7}$.
From symmetry of binomial coefficients:
${K \choose 3} = {K \choose K-3} \Rightarrow K-3 = 7 \Rightarrow K = 10$.
The probability of getting 8 tails (or 2 heads) is:
$P(8 \text{ tails}) = {10 \choose 2} \left(\frac{1}{2}\right)^{10}$.
$P(8 \text{ tails}) = \frac{10 \cdot 9}{2} \cdot \frac{1}{1024} = \frac{45}{1024}$.
Thus, the probability is $\frac{45}{1024}$.
The number of tosses \( K \) satisfies the condition:
\[ P(3 \text{ heads}) = P(7 \text{ heads}). \]Step 1: Probability of \( r \) heads in \( K \) tosses:
The probability of getting \( r \) heads in \( K \) tosses is given by the binomial distribution formula: \[ P(r) = {K \choose r} \left( \frac{1}{2} \right)^K. \]Step 2: Equate \( P(3) = P(7) \):
From the given condition \( P(3) = P(7) \), we have: \[ {K \choose 3} = {K \choose 7}. \]Step 3: Solve the binomial equation:
Using the symmetry of binomial coefficients \( {K \choose r} = {K \choose K-r} \), we get: \[ {K \choose 3} = {K \choose K-3}. \] Therefore, \( K - 3 = 7 \), which gives: \[ K = 10. \]Step 4: Calculate the probability of getting 8 tails (or 2 heads):
The number of tails is 8, which means the number of heads is \( 2 \). The probability of getting 8 tails (or 2 heads) is: \[ P(8 \text{ tails}) = {10 \choose 2} \left( \frac{1}{2} \right)^{10}. \]Step 5: Simplify the calculation:
The binomial coefficient \( {10 \choose 2} \) is calculated as: \[ {10 \choose 2} = \frac{10 \cdot 9}{2} = 45. \] Now, the probability is: \[ P(8 \text{ tails}) = 45 \cdot \frac{1}{1024} = \frac{45}{1024}. \]Conclusion: The probability of getting 8 tails (or 2 heads) is \( \frac{45}{1024} \).
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.