Question: In BS conformance testing (FDD), what is the primary reason for using the unchanged distribution as an approximation to calculate early fail and early pass bounds during a running measurement?
Option 1: To simplify the test procedure by reducing the number of samples required.
Option 2: Because the experimental conditions remain constant throughout the entire test.
Option 3: Due to the truncation of the distribution towards the end of the test, making analytical handling impractical.
Option 4: To increase the sensitivity of the test for detecting errors in UE transmissions.
Explanation: The correct answer is Option 3 because as UEs pass or fail early, the statistical pool changes with each step, leading to a truncated distribution that cannot be easily analyzed mathematically. Using the unchanged (original) distribution serves as a practical approximation for calculating bounds in this dynamically changing scenario, ensuring the test's integrity without getting bogged down by complex, shifting probabilities.