What is a key feature of a Non-Statistical Sample?

A Non-Statistical Sample is characterized by its inability to maintain the principle of random selection when choosing items from the population. This means that the items selected may not represent the overall population accurately, which can skew the results of any analysis conducted. Non-statistical sampling typically involves judgment calls made by the person or team conducting the sampling, leading to potential bias based on their subjective criteria or convenience rather than a systematic approach.

In contrast, statistical sampling methods are constructed to ensure random selection which allows the findings to be generalized or extrapolated to the larger population. Features such as proving statistical significance or ensuring random selection are hallmarks of statistical sampling methods, reinforcing the divide between statistical and non-statistical approaches. Therefore, the correct recognition that Non-Statistical Samples cannot ensure random selection helps to clarify their limitations in research and compliance contexts, particularly when trying to draw broader conclusions from specific sets of data.