| X | 0 | 1 | 2 | otherwise |
| P(X) | k | 2k | 3k | 0 |

When solving problems involving probabilities, always ensure the sum of probabilities equals 1, as this is a fundamental rule. For expected value calculations, use the formula \( E(X) = \sum X \cdot P(X) \). If you're given a probability distribution, carefully evaluate the sums and the expected values, and remember to substitute correctly when necessary. Finally, check your work for consistency and ensure you match the terms correctly.
The probabilities for \(X = 0, 1, 2\) are \(k, 2k, 3k\), respectively. The sum of probabilities must be 1:
\[k + 2k + 3k = 1 \implies 6k = 1 \implies k = \frac{1}{6}.\]
For (A) \(k\): As calculated, \(k = \frac{1}{6}\). Match: (A) → (IV).
For (B) \(P(X<2)\): This is \(P(X = 0) + P(X = 1)\):
\[P(X<2) = P(X = 0) + P(X = 1) = k + 2k = 3k.\]
Substituting \(k = \frac{1}{6}\):
\[P(X<2) = 3 \cdot \frac{1}{6} = \frac{1}{2}.\]
Match: (B) → (III).
For (C) \(E(X)\): The expected value is:
\[E(X) = \sum X \cdot P(X) = 0 \cdot k + 1 \cdot 2k + 2 \cdot 3k = 0 + 2k + 6k = 8k.\]
Substituting \(k = \frac{1}{6}\):
\[E(X) = 8 \cdot \frac{1}{6} = \frac{4}{3}.\]
Match: (C) → (II).
For (D) \(P(1 \leq X \leq 2)\): This is \(P(X = 1) + P(X = 2)\):
\[P(1 \leq X \leq 2) = P(X = 1) + P(X = 2) = 2k + 3k = 5k.\]
Substituting \(k = \frac{1}{6}\):
\[P(1 \leq X \leq 2) = 5 \cdot \frac{1}{6} = \frac{5}{6}.\]
Match: (D) → (I).
Final matching: (A) → (IV), (B) → (III), (C) → (II), (D) → (I).