CHES (Certified Health Education Specialist) Practice Exam 2025 – Your All-in-One Guide to Exam Success!

A simple random sample is defined as the most basic process for selecting a random sample. This method ensures that every individual in the population has an equal chance of being selected, which minimizes selection bias and increases the likelihood that the sample represents the broader population. This approach helps in obtaining unbiased, representative data that can be generalized to the larger group.

In contrast, a sample with a specific demographic focus is not considered simple random sampling because it does not allow all individuals an equal opportunity to be included. A sample chosen exclusively from internet surveys could introduce bias since it may not represent certain segments of the population who do not use the internet or participate in online surveys. Similarly, a sample that includes only volunteer participants might lead to self-selection bias, as volunteers may have different characteristics or motivations compared to the general population. Thus, the correct definition of a simple random sample encompasses the essential idea of equal opportunity for selection.