In research, what is the difference between a sample and a population?

• A. A population is larger than a sample.
• B. A sample is a subset of individuals from the population being studied.
• C. A sample includes all members of the population.
• D. A sample is always biased.

Answer: (B)

In research, the concept of a sample versus a population is foundational to understanding how studies are designed and how findings can be generalized. A population refers to the entire group of individuals or instances that share a common characteristic relevant to a particular study. This could encompass everyone living in a specific area, all students at a university, or any other defined group that encompasses the overall subject of interest.

A sample, on the other hand, consists of a smaller subset of individuals selected from that population. This subset is intended to represent the larger population in a manageable way, allowing researchers to conduct studies without needing to gather data from every single member of the population. The goal is to ensure that the sample reflects the diversity and characteristics of the population as a whole, thereby allowing researchers to infer conclusions about the population based on the data collected from the sample.

The correct answer relates directly to this understanding of sampling. A sample does not include all members of the population (which would not lead to the efficiency or feasibility of research) and is not necessarily biased, although bias can occur if the sampling method is poor. In summary, a sample is inherently a smaller representation drawn from the broader population being studied, facilitating research while aiming to maintain relevance and accuracy regarding the larger group.