!!! Overview
[{$pagename}] or Randomness is the lack of pattern or predictability in events.

A random sequence of [data], symbols or steps has no order and does not follow an intelligible pattern or combination. Individual [{$pagename}] events are by definition unpredictable, but in many cases the frequency of different outcomes over a large number of events (or "trials") is predictable. 

For [example], when throwing two dice, the outcome of any particular roll is unpredictable, but a sum of 7 will occur twice as often as 4. In this view, randomness is a measure of uncertainty of an outcome, rather than haphazardness, and applies to concepts of chance, probability, and information [entropy].

The fields of mathematics, probability, and statistics use formal definitions of randomness. In statistics, a [{$pagename}] variable is an assignment of a numerical value to each possible outcome of an event space. This association facilitates the [identification] and the calculation of probabilities of the events. 

[{$pagename}] variables can appear in random sequences. A [{$pagename}] process is a sequence of [{$pagename}] variables whose outcomes do not follow a deterministic pattern, but follow an evolution described by probability distributions. These and other constructs are extremely useful in probability theory and the various applications of randomness.

Randomness is most often used in statistics to signify well-defined statistical properties. Monte Carlo methods, which rely on random input (such as from random number generators or [pseudorandom number generator]), are important techniques in science, as, for instance, in computational science.!! More Information
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* [#1] - [Randomness|Wikipedia:Randomness|target='_blank'] - based on information obtained 2017-06-16-