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.
\(\frac{576}{1331}, \quad \frac{27}{1331}, \quad \frac{512}{1331} \text{ and } \frac{243}{1331}\)
Given the probability of drawing a defective bulb \( p = \frac{3}{11} \) and a good bulb \( q = \frac{8}{11} \). With replacement, draws are independent. The binomial probability formula is \( P(X = k) = \binom{n}{k} p^k q^{n-k} \), where \( n = 3 \) is the number of draws and \( k \) is the count of defective bulbs.
Probability of exactly one defective bulb (\( k = 1 \)):
\(P(X = 1) = \binom{3}{1} \left( \frac{3}{11} \right)^1 \left( \frac{8}{11} \right)^2 = 3 \cdot \frac{3}{11} \cdot \frac{64}{121} = \frac{576}{1331}.\)
Probability of more than two defective bulbs (\( k>2 \)): This means \( k = 3 \).
\(P(X = 3) = \binom{3}{3} \left( \frac{3}{11} \right)^3 \left( \frac{8}{11} \right)^0 = 1 \cdot \left( \frac{3}{11} \right)^3 = \frac{27}{1331}.\)
Probability of no defective bulbs (\( k = 0 \)):
\(P(X = 0) = \binom{3}{0} \left( \frac{3}{11} \right)^0 \left( \frac{8}{11} \right)^3 = 1 \cdot \left( \frac{8}{11} \right)^3 = \frac{512}{1331}.\)
Probability of more than one defective bulb (\( k>1 \)): This includes \( k = 2 \) and \( k = 3 \). First, calculate \( P(X = 2) \):
\(P(X = 2) = \binom{3}{2} \left( \frac{3}{11} \right)^2 \left( \frac{8}{11} \right)^1 = 3 \cdot \frac{9}{121} \cdot \frac{8}{11} = \frac{216}{1331}.\)
Summing \( P(X = 2) \) and \( P(X = 3) \):
\(P(X>1) = P(X = 2) + P(X = 3) = \frac{216}{1331} + \frac{27}{1331} = \frac{243}{1331}.\)
Summary of Probabilities:
Therefore, option C is the correct answer.
If \(S=\{1,2,....,50\}\), two numbers \(\alpha\) and \(\beta\) are selected at random find the probability that product is divisible by 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. 