Anytime you aim to perform a study on the entire population, you will surely find that this task will be:

- Much time and/or efforts consuming as populations are normally
*huge*. - Impossible if the population is
*infinite*(such as products).

Here comes the role of taking samples. Yes! we just take a sample from the whole population, perform the study on the chosen sample, apply the results back to our population.

This is the core of

*inferential statistics*because what we do is to infer parameters/properties of the population using information from a small sample.
Well, this does not mean we will obtain 100% exact accurate estimations or inferences. But to be as close as possible, sample elements should be taken

*randomly*! At least, being random in sample selection will mostly include the diversity of information/facts within our population.
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