A curve that shows all the values that the random variable can take and the likelihood that each will occur.
A distribution which relates a range of part icular outcome s to their likelihood. The most common probability distribution is the normal distribution which is shaped like the cross-section of a bell. [D05045] RAMP
A function which assigns a probability to each value within the range of a discrete random variable. There are many different types of distributions used for varous purposes, examples of which include Gaussian, binomial, Poisson, chi-square and Cauchy distributions. This is also known as a probability function.
() - Distribution of probability over different values of a variable (19.2).
A series of outcomes and associated probabilities with each outcome.
A specification of the probabilities for each possible value of a random variable.
A function that describes all the values a random variable can take and the probability associated with each. Also called a probability function.
a smooth curve indicating the frequency distribution for a continuous random variable.
Ordered display of data categories and values along the horizontal axis and display of probability of each value on the vertical axis. The total area under the probability distribution curve always equals 1.0. [See continuous distribution, discrete distribution, frequency distribution, Matthew distribution, Pareto distribution
a function that assigns probabilities to events
a function thatassigns probabilities to events or propositions
a function that gives the probability of all elements in a given space
a mathematical form for capturing what we know about uncertainties, and how confident we are of what we know
a table of values showing the probabilities of various outcomes of an experiment
a useful mathematical function for describing any situation for which the outcome is uncertain
a way to describe the potential of the three possible outcomes in a football match
The set of probabilities associated with the values in a random variable's sample space.
A function that for each possible value of a discrete random variable takes on the probability of that value occurring, or a curve which specifies by means of the area under the curve over an interval the probability that a continuous random variable falls within the interval (the probability density function).
portrays the relative likelihood that a range of values is the true value of a treatment effect. This distribution is typically shown in the form of a bell-shaped curve. An estimate of the most likely true value of the treatment effect is the value at the highest point of the distribution. The area under the curve between any two points along the range gives the probability that the true value of the treatment effect lies between those two points. Thus, a probability distribution can be used to determine an interval that has a designated probability (e.g., 95%) of including the true value of the treatment effect.
An ordered listing of all possible values of a random variable and their associated probabilities.
Probability function Proceeds
A mathematical model describing the probability of observing various values of a random variable.
(noun) Also called a probability function, a function that describes all the values that the random variable can take and the probability associated with each.
A distribution of a variable that expresses the probability that particular attributes or ranges of attributes will be, or have been observed.
A representation of the probabilities associated with values of a random variable.
the model used to calculate the odds of different events, how they are ÒdistributedÓ. When we say that an event is distributed according the Òbell curveÓ I mean that the Gaussian bell curve (after C.F. Gauss, on whom later) can help provide probabilities of various occurrences.
It is the mechanism, which generates occurrences, observations, events, returns, and variability of returns or risk. A popular distribution is the Normal Distribution with its often cited "bell-shaped curve." Some probability distributions are: Bernoulli, Beta, Binomial, Chi Square, Geometric, Negative Binomial, Normal, Pascal, Poisson, t and Uniform.
The mathematical description of a random variable in terms of its admissible values and the probability associated, in an appropriate sense, with each value. The probability distribution of a continuous variate is defined by stating the mathematical equation of the distribution function () or the probability density function () (if it exists) together with the range over which the equation holds. The probability distribution of a discrete variate is commonly defined by stating the equation for the probability () that the variate will assume any particular value , and indicating what values are possible.
In mathematics and statistics, a probability distribution describes how probabilities are distributed on events. It assigns to every interval of the real numbers a probability, so that the probability axioms are satisfied. In technical terms, a probability distribution is a probability measure whose domain is the Borel algebra on the reals.