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Because the whole population might be too large to sample.

A good example is the population of the world. At nearly 7 billion people, it would be unrealistic to sample each person to determine some factor that you are looking at. Generally, we sample a subset of the population, taking into account differences (or errors) that might result, in this case, regional and cultural, in order to estimate the behavior of the larger population.

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Q: Why might researchers study just a sample of a large population rather than the whole population?
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Related questions

When researchers survey part of a large group what is the name of the group that they survey?

A sample! And the large group is called the population.


A sample average can be used to estimate a population average precision if the sample is?

large


Explain the differences between a sample and a population?

A sample consists of a small portion of data when a population is taken from a large amount.


What two features must a sample have if its to accurately represent a population?

The sample must be large and random.


What does it means if the standard deviation is large?

that you have a large variance in the population and/or your sample size is too small


How large should the sample be to be large enough?

Span the full spectrum of a population's genetic variation. <apex> Reflects the genetic variation of a population...


What are the advantages and disadvantages of large samples?

A large trial is necessary to provide good sample that is representative of the population


What is the term for a small group that accurately reflects a large population?

Representative Sample.


When the sample size is large valid confidence intervals can be established for the population mean irrespective of the shape of the underlying distribution?

Yes, but that begs the question: how large should the sample size be?


A ________ is a way to measure public opinion by interviewing ________ population?

mass survey; a large sample of the


What is he conclusion from research conducted on a sample population to the population as a whole?

Assuming that the population was carefully defined, the sample population was carefully and correctly chosen, and that there were significant results, then the implication is that the results of the study, within the confidence limits indicated, hold true for the population at large.


When a large number of samples are drawn from a negatively skewed population the distribution of the sample means?

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