Statistics - (Estimation|Approximation)

Thomas Bayes


In statistics, it's always impossible to do experimentation on the entire population. Sample of this population are then used to estimate characteristic of this population (ie the statistics).

A sample statistics is an estimate of a population parameter

Because of this estimation, we get what's called sampling error.

Documentation / Reference

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The sampling error is the inaccuracy that results from estimating using a sample, rather than the entire population. The Sampling error is the difference between the population and the sample. Whenever...
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In general, each statistic is an estimate of a parameter, whose value is not known exactly. Every number found using a sample is just an (approximation|estimation) of a parameter (the truth). in descriptive...

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