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Cosa (chi) è random variable - definizione
Random variable
![If the sample space is the set of possible numbers rolled on two dice, and the random variable of interest is the sum ''S'' of the numbers on the two dice, then ''S'' is a discrete random variable whose distribution is described by the [[probability mass function]] plotted as the height of picture columns here.](https://commons.wikimedia.org/wiki/Special:FilePath/Dice Distribution (bar).svg?width=200 "If the sample space is the set of possible numbers rolled on two dice, and the random variable of interest is the sum ''S'' of the numbers on the two dice, then ''S'' is a discrete random variable whose distribution is described by the [[probability mass function]] plotted as the height of picture columns here.")
VARIABLE REPRESENTING A RANDOM PHENOMENON
RandomVariable; Random variables; Random variation; Discrete random variable; Stochastic variable; Aleatory variable; Statistical variable; Random Variable; Discrete Random Variable; Equal in distribution; Random quantity
A random variable (also called random quantity, aleatory variable, or stochastic variable) is a mathematical formalization of a quantity or object which depends on random events. It is a mapping or a function from possible outcomes in a sample space to a measurable space, often the real numbers.
Multivariate random variable
RANDOM VARIABLE WITH MULTIPLE COMPONENT DIMENSIONS
Random vector
In probability, and statistics, a multivariate random variable or random vector is a list of mathematical variables each of whose value is unknown, either because the value has not yet occurred or because there is imperfect knowledge of its value. The individual variables in a random vector are grouped together because they are all part of a single mathematical system — often they represent different properties of an individual statistical unit.
Random-fuzzy variable
IT IS A TYPE 2 FUZZY VARIABLE USED TO REPRESENT MEASUREMENTS.
Random-Fuzzy Variable
In measurements, the measurement obtained can suffer from two types of uncertainties. The first is the random uncertainty which is due to the noise in the process and the measurement.
