The assessor plans to test a population in a file, and they want to pick...

Systematic/Interval sampling is a recognized statistical methodology where items are selected at regular intervals from an ordered population. For example, selecting every 100th transaction, log entry, or user account from a file. This approach provides coverage across the dataset while being more efficient than random sampling. HITRUST accepts systematic sampling as long as the population is not ordered in a way that introduces bias (e.g., chronological logs where every 100th entry might reflect similar conditions). By contrast, random sampling requires a truly random number generator, judgmental relies on assessor discretion, and haphazard lacks any structured methodology. For this scenario, selecting every 100th item is clearly Systematic/Interval sampling.