A variable which can assume any value from a set of possible values.
Parameter or characteristic that can take on any one of several values; discrete and continuous (19.2).
An economic or statistical variable that takes on multiple (or a continuum of) values, each with some probability that is specified by a probability distribution (or probability density function).
a variable quantity that is random
a function from a sample space S into the real numbers
a function from outcomes to values
a function that assigns a real number to each outcome in the sample space of a random experiment
a function that associates a unique numerical value with every outcome of an experiment
a function which maps the elements of the sample space S to points on the real number line RR
a function X that assigns to each possible outcome in an experiment a real number
a measurable function , where S is a set, is a sigma-algebra on S , and is a measure defined on such that
a measurable mapping from a sample space to the real numbers
an assignment of numbers to outcomes of a random experiment
a nondeterministic function
a number whose value is determined by chance
a numerical description of the outcome of a statistical experiment
a numerical outcome of a random experiment
a quantity that is uncertain, such as interarrival time between two incoming flights or number of defective parts in a shipment
a real function (yes, it is called" variable", but in reality it is a function) that assigns a numerical value to each simple event
a rule that assigns a value to each possible outcome of an experiment
a variable that assumes numerical values associated with events of an experiment
a variable whose value is a number determined by the outcome of an experiment
a variable whose value is determined by the outcome of a random experiment
a variable whose values occur probabilistically
(abbreviated r.v.) A rule (function) assigning a number to each outcome in the sample space. ("-squared") The ratio of regression sum of squares to residual sum of squares, representing the proportion of variability explained by the model. ² is typical expressed as a percent.
"A function that assigns a numerical value to each outcome of an experiment" (Dolciani, 1988). "The outcomes form the sample space of the Random Variable" (Dolciani, Beckenbach, Donnelly, Jurgensen, & Wooton, 1980).
In statistics, a quantity that takes any of a set of values with specified probabilities.
A quantity that can take any one of a number of unpredicted values.
See discrete variable.
a variable whose value is determined by the outcome of an experiment in which the outcome is subject to chance.
A term which has been given many variable, if not entirely random, definitions. Broadly and loosely for our purposes, some measurement which takes on given values with given probabilities
A numerical descrition of the outcome of an experiment.
A function which assigns a numerical value to all possible outcomes of an experiment. The values of random variables differ from one observation to the next in a manner described by their probability distribution.
A variable that is itself a function of the result of a statistical experiment in which each outcome has a definite probability of occurrence; also called variate
A function that assigns a real number to each and every possible outcome of a random experiment.
A variable whose value is determined by the outcome of an event or experiment.
A variable whose values are random but whose statistical distribution is known.
(Or variate.) A variable characterized by random behavior in assuming its different possible values. Mathematically, it is described by its probability distribution, which specifies the possible values of a random variable together with the probability associated (in an appropriate sense) with each value. A random variable is said to be continuous if its possible values extend over a continuum, discrete if its possible values are separated by finite intervals. See probability theory, statistical independence.
A function on a probability space.
In statistics and mathematics, a random variable is a variable that can take on different, random values. Every random variable must follow some sort of probability distribution, although in experimentation one might not know what that distribution is. As a variable with probabalistically predictable values, it is a function in its own right.