Step 1: Use the normalization condition.
The total probability for a continuous random variable must equal 1, so we normalize the probability density function by integrating over its entire range and solving for \( K \).
Step 2: Conclusion.
Thus, the value of \( K \) is \( \frac{1}{2} \).