The probability of the union of two independent events \(X\) and \(Y\) is calculated using the formula: \(P(X \cup Y) = P(X) + P(Y) - P(X)P(Y)\).
We are given that \(P(X \cup Y) = 0.8\), \(P(X) = \frac{1}{3}\), and \(P(Y) = n\).
Substituting these values into the formula yields: \(0.8 = \frac{1}{3} + n - \left(\frac{1}{3}\right)n\).
To eliminate fractions, multiply the equation by 3: \(3 \times 0.8 = 3 \times \frac{1}{3} + 3n - n\).
This simplifies to: \(2.4 = 1 + 2n\).
Subtract 1 from both sides: \(1.4 = 2n\).
Solving for \(n\) by dividing by 2: \(n = \frac{1.4}{2}\).
Therefore, \(n = \frac{7}{10}\).
The correct option is \(\frac{7}{10}\).
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. 