Traduzione e analisi delle parole tramite l'intelligenza artificiale ChatGPT
In questa pagina puoi ottenere un'analisi dettagliata di una parola o frase, prodotta utilizzando la migliore tecnologia di intelligenza artificiale fino ad oggi:
- come viene usata la parola
- frequenza di utilizzo
- è usato più spesso nel discorso orale o scritto
- opzioni di traduzione delle parole
- esempi di utilizzo (varie frasi con traduzione)
- etimologia
Cosa (chi) è randomness$66717$ - definizione
![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.")
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.
