Question 29 A sample is: a subset of the population being studied the complete set of individuals being studied data that varies the information collected from the initial survey 1 pts

The term used in scholarly statistics, a 'sample,' is often used when it is neither practical nor possible to study the 'whole populace.' It refers to a subset of the population that should ideally represent all characteristics of the entire group being studied. Thus, when the term "a sample is" appears, it refers to a specific portion of the population of interest subject to observation and analysis.<br />We can go through all the available options:<br />Option A suggests it is a subset of the population being studied. This aligns with our earlier explanation and should thus be correct.<br />Option B describes it as the complete set of individuals being studied, which cannot be robust since a sample isn't the result of examining the entire population.<br />Option C labels it as 'data that varies', which makes little statistical sense and is inappropriate because while data derived from a sample might vary that doesn't sufficiently define what a sample is.<br />Option D, which narrates it as the information gathered from the initial survey, is incorrect, as the sample doesn't necessarily have to originate from an initial survey; it can be obtained at any stage.<br /><br />Therefore, the most adequate choice based on the concept and implications of the term 'sample' is option A.