To determine the probability \(P(A|B)\), where event \(A\) signifies the first ball drawn is black and event \(B\) signifies the second ball drawn is black, we employ the conditional probability formula:
\[ P(A|B) = \frac{P(A \cap B)}{P(B)} \]
Step 1: Calculate \(P(A \cap B)\).
The probability that both the first and second balls drawn are black is computed as follows:
Thus:
\[ P(A \cap B) = \frac{6}{10} \times \frac{5}{9} = \frac{30}{90} = \frac{1}{3} \]
Step 2: Calculate \(P(B)\).
\(P(B)\) represents the probability that the second ball drawn is black, irrespective of the first ball's color. This can occur in two mutually exclusive ways:
Summing the probabilities of these scenarios:
\[ P(B) = \left(\frac{6}{10} \times \frac{5}{9}\right) + \left(\frac{4}{10} \times \frac{6}{9}\right) = \frac{30}{90} + \frac{24}{90} = \frac{54}{90} = \frac{3}{5} \]
Step 3: Compute \(P(A|B)\).
Applying the conditional probability formula with the computed values:
\[ P(A|B) = \frac{P(A \cap B)}{P(B)} = \frac{\frac{1}{3}}{\frac{3}{5}} = \frac{1}{3} \times \frac{5}{3} = \frac{5}{9} \]
The fraction \(\frac{5}{9}\) is in its simplest form, as the greatest common divisor of 5 and 9 is 1. Therefore, \(m = 5\) and \(n = 9\), and \(m + n = 14\).
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. 