Step 1: Understanding the Question:
We are given a discrete probability distribution for a random variable $X$ that takes integer values from 1 to 6 with probabilities scaled by a constant factor $K$. We need to find the total probability for the strict open interval $2 < X < 6$.
Step 2: Key Formula or Approach:
For a valid probability mass function, the sum of all individual probabilities across the entire sample space must equal exactly 1:
$$\sum P(X_i) = 1$$
We use this total sum condition to determine the numerical value of the constant $K$. Then, we calculate the target probability by summing the discrete values that fall strictly within the given boundaries:
$$P(2 < X < 6) = P(X=3) + P(X=4) + P(X=5)$$
Step 3: Detailed Explanation:
The probability distribution mapped from the structure is:
Sum all the probability terms and set the total equal to 1:
$$K + 2K + 3K + 4K + 5K + 6K = 1$$
$$21K = 1 \implies K = \frac{1}{21}$$
Now, compute the target probability for the range $2 < X < 6$. Note that since the inequalities are strict ($<$), the boundary values 2 and 6 are excluded from the sum:
$$P(2 < X < 6) = P(X=3) + P(X=4) + P(X=5)$$
Substitute the expressions in terms of $K$:
$$P(2 < X < 6) = 3K + 4K + 5K = 12K$$
Substitute the calculated value of $K = \frac{1}{21}$ into this expression:
$$P(2 < X < 6) = 12 \times \frac{1}{21} = \frac{12}{21}$$
Reduce the fraction to its simplest terms by dividing both the numerator and the denominator by their greatest common divisor, 3:
$$P(2 < X < 6) = \frac{4}{7}$$
This matches option (D).
Step 4: Final Answer:
The probability $P(2 < X < 6)$ is equal to $\frac{4}{7}$, which corresponds to option (D).