Question:

A random variable X has the following probability distribution :
X:12345
P(X):\(K^2\)\(2K\)\(K\)\(2K\)\(5K^2\)
Then \(P(X \gt 2)\) is equal to :

Show Hint

Use that the probabilities sum to 1 to find K (K must be positive), then add P(3), P(4), P(5).
Updated On: Nov 5, 2026
  • \(\frac{1}{6}\)
  • \(\frac{7}{12}\)
  • \(\frac{1}{36}\)
  • \(\frac{23}{36}\)
Show Solution
collegedunia
Verified By Collegedunia

The Correct Option is D

Solution and Explanation

Sum of probabilities = 1: \(K^2 + 2K + K + 2K + 5K^2 = 6K^2 + 5K = 1\).
\(6K^2 + 5K - 1 = 0\), \((6K - 1)(K + 1) = 0\), so \(K = \frac{1}{6}\) (K = -1 rejected as probability cannot be negative).
\(P(X \gt 2) = P(3) + P(4) + P(5) = K + 2K + 5K^2 = 3K + 5K^2\).
\(= \frac{3}{6} + \frac{5}{36} = \frac{18}{36} + \frac{5}{36} = \frac{23}{36}\).
Answer: (4) \(\frac{23}{36}\)
Was this answer helpful?
0
0