Welcome guest
You're not logged in.
278 users online, thereof 0 logged in

## Definition: Random Variable, Realization, Population and Sample

A random variable a function, which maps every outcome of a given random experiment to the set of real numbers, formally
$X:\cases{\Omega\mapsto\mathbb R\\A\mapsto X(A)}$

If we have an experiment, in which the random variable $$X$$ took the real value $$x$$, then we call $$x$$ the realization of $$X$$.

The entirety of all possible realizations of $$X$$ in the given experiment (formally the image of the function $$X(\Omega)$$) is called the population of $$X$$. A population can be finite, or infinite, depending on whether the $$\Omega$$ is finite or infinite.

A sample is a finite number of realizations of $$X$$. If the number of such realizations is $$n$$, we say that we have a sample of size $$n$$.

| | | | | created: 2016-03-19 18:21:09 | modified: 2016-03-19 19:10:51 | by: bookofproofs | references: [1796]

## 2.Definition: Relative and Absolute Frequency

### Bibliography (further reading)

[1796] Hedderich, J.;Sachs, L.: “Angewandte Statistik”, Springer Gabler, 2012, Vol .14