# Statistics - (Estimation|Approximation)

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

Discover More
Statistics - (Data Set|Sample)

Because of the difficulties of obtaining information all units in a population, it is common to use a small,random and representative subset of the population called a sample. A sample is a smaller,...
Statistics - Sampling Error

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...
Statistics - Statistic

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...