In problems involving binomial probability, always begin by identifying the number of trials (n) and the probabilities of success (p) and failure (q). The binomial probability formula allows you to calculate the probability of a specific number of successes (or defective bulbs in this case) in a fixed number of trials. When calculating probabilities for multiple outcomes, remember to add the individual probabilities for each possible value of \( k \) to get the total probability for a given range.
\(\frac{576}{1331}, \quad \frac{27}{1331}, \quad \frac{512}{1331} \text{ and } \frac{243}{1331}\)
Let the probability of drawing a defective bulb be \( p = \frac{3}{11} \) and the probability of drawing a good bulb be \( q = \frac{8}{11} \). Since the bulbs are drawn with replacement, the events are independent. Use the binomial probability formula:
\[ P(X = k) = \binom{n}{k} p^k q^{n-k}, \]
where \( n = 3 \) (number of draws) and \( k \) is the number of defective bulbs.
Probability of exactly one defective bulb (\( k = 1 \)):
\(P(X = 1) = \binom{3}{1} p^1 q^2 = 3 \cdot \left( \frac{3}{11} \right)^1 \cdot \left( \frac{8}{11} \right)^2.\)
\(P(X = 1) = 3 \cdot \frac{3}{11} \cdot \frac{64}{121} = \frac{576}{1331}.\)
Probability of more than two defective bulbs (\( k\(>\)2 \)): The only possibility is \( k = 3 \) (all three bulbs are defective):
\(P(X = 3) = \binom{3}{3} p^3 q^0 = 1 \cdot \left( \frac{3}{11} \right)^3 = \frac{27}{1331}.\)
Probability of no defective bulbs (\( k = 0 \)):
\(P(X = 0) = \binom{3}{0} p^0 q^3 = 1 \cdot \left( \frac{8}{11} \right)^3 = \frac{512}{1331}.\)
Probability of more than one defective bulb (\( k\(>\)1 \)): This includes \( k = 2 \) and \( k = 3 \). First calculate \( P(X = 2) \):
\(P(X = 2) = \binom{3}{2} p^2 q^1 = 3 \cdot \left( \frac{3}{11} \right)^2 \cdot \frac{8}{11}.\)
\(P(X = 2) = 3 \cdot \frac{9}{121} \cdot \frac{8}{11} = \frac{216}{1331}.\)
Now add \( P(X = 2) \) and \( P(X = 3) \):
\(P(X>1) = P(X = 2) + P(X = 3) = \frac{216}{1331} + \frac{27}{1331} = \frac{243}{1331}.\)
Final Probabilities:
Thus, the correct answer is option C.
Let the probability of drawing a defective bulb be \( p = \frac{3}{11} \) and the probability of drawing a good bulb be \( q = \frac{8}{11} \).
Since the bulbs are drawn with replacement, the events are independent. We will use the binomial probability formula:
\[ P(X = k) = \binom{n}{k} p^k q^{n-k}, \] where \( n = 3 \) (the number of draws) and \( k \) is the number of defective bulbs.
Step 1: Probability of exactly one defective bulb (\( k = 1 \)):
We substitute \( k = 1 \), \( p = \frac{3}{11} \), and \( q = \frac{8}{11} \) into the binomial formula: \[ P(X = 1) = \binom{3}{1} p^1 q^2 = 3 \cdot \left( \frac{3}{11} \right)^1 \cdot \left( \frac{8}{11} \right)^2. \] Simplifying this: \[ P(X = 1) = 3 \cdot \frac{3}{11} \cdot \frac{64}{121} = \frac{576}{1331}. \] Therefore, the probability of exactly one defective bulb is \( \frac{576}{1331} \).
Step 2: Probability of more than two defective bulbs (\( k > 2 \)): The only possibility here is \( k = 3 \) (all three bulbs are defective).
We calculate \( P(X = 3) \) as follows: \[ P(X = 3) = \binom{3}{3} p^3 q^0 = 1 \cdot \left( \frac{3}{11} \right)^3 = \frac{27}{1331}. \] Therefore, the probability of more than two defective bulbs is \( \frac{27}{1331} \).
Step 3: Probability of no defective bulbs (\( k = 0 \)):
For no defective bulbs, \( k = 0 \): \[ P(X = 0) = \binom{3}{0} p^0 q^3 = 1 \cdot \left( \frac{8}{11} \right)^3 = \frac{512}{1331}. \] Thus, the probability of no defective bulbs is \( \frac{512}{1331} \).
Step 4: Probability of more than one defective bulb (\( k > 1 \)): This includes the cases where \( k = 2 \) and \( k = 3 \). First, we calculate \( P(X = 2) \):
\[ P(X = 2) = \binom{3}{2} p^2 q^1 = 3 \cdot \left( \frac{3}{11} \right)^2 \cdot \frac{8}{11}. \] Simplifying: \[ P(X = 2) = 3 \cdot \frac{9}{121} \cdot \frac{8}{11} = \frac{216}{1331}. \] Now, we add \( P(X = 2) \) and \( P(X = 3) \) to find the total probability of more than one defective bulb: \[ P(X > 1) = P(X = 2) + P(X = 3) = \frac{216}{1331} + \frac{27}{1331} = \frac{243}{1331}. \]
Step 5: Final Probabilities:
Conclusion: Thus, the correct answer is option 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.