In non-volumetric testing, data interpretation is best described as

In non-volumetric testing, data interpretation is best described as

• A. It relies on precise volume changes
• B. Reliance on presence or absence of a leak
• C. Requires constant pressure measurement
• D. Yields a numerical leak rate

Answer: (B)

Non-volumetric testing interprets results as a binary outcome: a leak is present or not. The data are not used to quantify how much volume has changed or to calculate a leak rate; instead the test provides a pass/fail signal based on whether a leak is detectable within the method’s sensitivity. This is why relying on the presence or absence of a leak is the best description of data interpretation for this approach. Methods used in non-volumetric testing typically yield a qualitative result—leak detected or not—rather than a precise volume change, a constant-pressure requirement, or a numerical leak rate.

Non-volumetric testing interprets results as a binary outcome: a leak is present or not. The data are not used to quantify how much volume has changed or to calculate a leak rate; instead the test provides a pass/fail signal based on whether a leak is detectable within the method’s sensitivity. This is why relying on the presence or absence of a leak is the best description of data interpretation for this approach. Methods used in non-volumetric testing typically yield a qualitative result—leak detected or not—rather than a precise volume change, a constant-pressure requirement, or a numerical leak rate.