# Observable Population

An Observable Population is a Statistical Population which represents all possible observations or measurements of a statistical experiment.

**Example(s)**- A Finite Statistical Population in which all elements are measurable.
- Total number patients who participated in a test treatment.

**Counter-Example(s)**- A Statistical Population in which all elements outcome from a computer simulation.

**See:**Statistical Population, Finite Statistical Population, Infinite Statistical Population.

## References

### 2016

- (Wikipedia, 2016) ⇒ http://en.wikipedia.org/wiki/
- (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/statistical_population Retrieved:2015-2-23.
- In statistics, a
**population**is a set of similar items or events which is of interest for some question or experiment.^{[1]}A statistical population can be a group of actually existing objects (e.g. the set of all stars within the Milky Way galaxy) or a hypothetical and potentially infinite group of objects conceived as a generalization from experience (e.g. the set of all possible hands in a game of poker).^{[2]}A common aim of statistical analysis is to produce information about some chosen population.^{[3]}

- In statistics, a

- In statistical inference, a subset of the population (a statistical sample) is chosen to represent the population in a statistical analysis.
^{[4]}If a sample is chosen properly, characteristics of the entire population that the sample is drawn from can be estimated from corresponding characteristics of the sample.

- In statistical inference, a subset of the population (a statistical sample) is chosen to represent the population in a statistical analysis.

- ↑ "Glossary of statistical terms: Population". http://www.statistics.com/glossary&term_id=812. Retrieved 22 February 2016.
- ↑ Template:MathWorld
- ↑ Yates, Daniel S.; Moore, David S; Starnes, Daren S. (2003).
*The Practice of Statistics*(2nd ed.). New York: Freeman. ISBN 978-0-7167-4773-4. http://bcs.whfreeman.com/yates2e/. - ↑ "Glossary of statistical terms: Sample". http://www.statistics.com/glossary&term_id=281. Retrieved 22 February 2016.