To find the value of \(n\), we need to use the formula for the probability of the union of two independent events \(X\) and \(Y\):
\(P(X \cup Y) = P(X) + P(Y) - P(X)P(Y)\)
Given: \(P(X \cup Y) = 0.8\), \(P(X) = \frac{1}{3}\), \(P(Y) = n\).
Plugging the values into the formula:
\(0.8 = \frac{1}{3} + n - \left(\frac{1}{3}\right)n\)
To simplify, multiply the equation by 3 to eliminate the fractions:
\(3 \times 0.8 = 3 \times \frac{1}{3} + 3n - n\)
This results in:
\(2.4 = 1 + 2n\)
Subtract 1 from both sides:
\(1.4 = 2n\)
Divide by 2 to solve for \(n\):
\(n = \frac{1.4}{2}\)
\(n = \frac{7}{10}\)
Thus, the correct option is \(\frac{7}{10}\).
For independent events \( X \) and \( Y \), the probability of at least one occurring is given by:
\[ P(X \cup Y) = P(X) + P(Y) - P(X)P(Y). \]
Substituting the given values:
\[ 0.8 = \frac{1}{3} + n - \left(\frac{1}{3}\right)n. \]
Simplifying:
\[ 0.8 = \frac{1}{3} + n - \frac{n}{3}. \]
Combining terms:
\[ 0.8 = \frac{1}{3} + \frac{2n}{3}. \]
Multiplying the entire equation by 3:
\[ 2.4 = 1 + 2n. \]
Rearranging:
\[ 2n = 1.4 \implies n = 0.7 = \frac{7}{10}. \]
If the probability distribution is given by:
| X | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|---|---|---|
| P(x) | 0 | k | 2k | 2k | 3k | k² | 2k² | 7k² + k |
Then find: \( P(3 < x \leq 6) \)
If \(S=\{1,2,....,50\}\), two numbers \(\alpha\) and \(\beta\) are selected at random find the probability that product is divisible by 3 :