Translation and analysis of words by ChatGPT artificial intelligence
On this page you can get a detailed analysis of a word or phrase, produced by the best artificial intelligence technology to date:
- how the word is used
- frequency of use
- it is used more often in oral or written speech
- word translation options
- usage examples (several phrases with translation)
- etymology
randomness$66717$ - translation to spanish
![In the [[Monty Hall problem]], when the host reveals one door that contains a goat, this provides new information that needs to be factored into the calculation of probabilities.](https://commons.wikimedia.org/wiki/Special:FilePath/Monty open door.svg?width=200 "In the [[Monty Hall problem]], when the host reveals one door that contains a goat, this provides new information that needs to be factored into the calculation of probabilities.")
![Ancient [[fresco]] of dice players in [[Pompei]]](https://commons.wikimedia.org/wiki/Special:FilePath/Pompeii - Osteria della Via di Mercurio - Dice Players.jpg?width=200 "Ancient [[fresco]] of dice players in [[Pompei]]")
![pseudorandomly generated]] [[bitmap]].](https://commons.wikimedia.org/wiki/Special:FilePath/RandomBitmap.png?width=200 "pseudorandomly generated]] [[bitmap]].")
![The ball in a [[roulette]] can be used as a source of apparent randomness, because its behavior is very sensitive to the initial conditions.](https://commons.wikimedia.org/wiki/Special:FilePath/Roulette wheel.jpg?width=200 "The ball in a [[roulette]] can be used as a source of apparent randomness, because its behavior is very sensitive to the initial conditions.")
Ex: The reason for this is that the qualifier, Public Libraries, is randomly distributed depending on whether other facets are cited in between.
----
* randomly chosen [randomly-chosen] = seleccionado al azar, escogido al azar
Definition
Wikipedia
A randomness test (or test for randomness), in data evaluation, is a test used to analyze the distribution of a set of data to see if it can be described as random (patternless). In stochastic modeling, as in some computer simulations, the hoped-for randomness of potential input data can be verified, by a formal test for randomness, to show that the data are valid for use in simulation runs. In some cases, data reveals an obvious non-random pattern, as with so-called "runs in the data" (such as expecting random 0–9 but finding "4 3 2 1 0 4 3 2 1..." and rarely going above 4). If a selected set of data fails the tests, then parameters can be changed or other randomized data can be used which does pass the tests for randomness.
