Given the probability distribution of a random variable \(X\):
\[ P(X=x) = \begin{cases} k & \quad \text{if } x=0 \\ 2k & \quad \text{if } x=1 \\ 3k & \quad \text{if } x=2 \\ 0 & \quad \text{otherwise} \end{cases} \]
To find \(P(x \leq 2)\), we need to determine the probabilities of \(X = 0\), \(X = 1\), and \(X = 2\), and then sum them up.
Since these are the only non-zero probabilities, the sum of probabilities is:
\[ P(X = 0) + P(X = 1) + P(X = 2) = k + 2k + 3k \]
This should equal 1 because the sum of all probabilities for a probability distribution is always 1. Therefore, we have:
\[ k + 2k + 3k = 1 \]
\[ 6k = 1 \]
Solving for \(k\):
\[ k = \frac{1}{6} \]
Substitute back to find each probability:
\[ P(X = 0) = k = \frac{1}{6} \]
\[ P(X = 1) = 2k = \frac{2}{6} = \frac{1}{3} \]
\[ P(X = 2) = 3k = \frac{3}{6} = \frac{1}{2} \]
Now sum these probabilities:
\[ P(x \leq 2) = \frac{1}{6} + \frac{1}{3} + \frac{1}{2} \]
To add these fractions, find a common denominator, which is 6:
\[ \frac{1}{6} + \frac{2}{6} + \frac{3}{6} = \frac{6}{6} \]
\[ P(x \leq 2) = 1 \]
Thus, the probability \(P(x \leq 2)\) is 1.
X | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
---|---|---|---|---|---|---|---|---|
P(X) | 0 | m | 2m | 2m | 3m | m² | 2m² | 7m² + m |
X | 3 | 4 | 5 |
---|---|---|---|
P(X) | 0.5 | 0.2 | 0.3 |
X | 0 | 1 | 2 | otherwise |
P(X) | k | 2k | 3k | 0 |
Then:
(A) \( k = \frac{1}{6} \)
(B) \( P(X < 2) = \frac{1}{2} \)
(C) \( E(X) = \frac{3}{4} \)
(D) \( P(1 < X \leq 2) = \frac{5}{6} \)
Choose the correct answer from the options given below:
X | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
---|---|---|---|---|---|---|---|
P(X) | k | 2k | 2k | 3k | k2 | 2k2 | 7k2 + k |
List-I | List-II |
---|---|
(A) k | (I) 7/10 |
(B) P(X < 3) | (II) 53/100 |
(C) P(X ≥ 2) | (III) 1/10 |
(D) P(2 < X ≤ 7) | (IV) 3/10 |
X | 0 | 1 | 2 | otherwise |
P(X) | k | 2k | 3k | 0 |