ACCA Management Accounting (F2) Certification Practice Exam 2025 – Your All-in-One Resource for Exam Success!

Quota sampling is a non-probability sampling technique where the researcher ensures that specific characteristics are represented in the sample. The main feature is that a particular quota is set for different subgroups within the population, and once these quotas are filled, no further elements from that subgroup are selected, regardless of whether there are more individuals available in that category.

In this context, the correct reason is that all elements of a specified quota must be selected, as once a quota is met for a subgroup, no additional selections from that subgroup are made. This approach helps in ensuring that the sample reflects the diversity of the population based on the defined characteristics.

Other options do not accurately define quota sampling: the first option implies probability sampling, where every element has an equal chance, which is not the case in quota sampling. The third option describes systematic sampling, where every nth member is chosen, which does not align with the principles of quota sampling. Therefore, the essence of quota sampling focuses on meeting specific subgroup representation within a defined limit rather than randomness or systematic methods.