Definition:Uniform Distribution/Discrete

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Definition

Let $X$ be a discrete random variable on a probability space.


Then $X$ has a discrete uniform distribution with parameter $n$ if and only if:

$\Img X = \set {1, 2, \ldots, n}$
$\map \Pr {X = k} = \dfrac 1 n$


That is, there is a number of outcomes with an equal probability of occurrence.

This is written:

$X \sim \DiscreteUniform n$


Also defined as

The discrete uniform distribution can also be defined as:

A discrete random variable $X$ has a discrete uniform distribution with parameter $n + 1$ if and only if:
$\Img X = \set {0, 1, \ldots, n}$
$\map \Pr {X = k} = \dfrac 1 {n + 1}$


Examples

Coin Toss

Consider the exercise of coin-tossing.

There are $2$ possible outcomes: $\mathrm H$eads or $\mathrm T$ails, each with a probability of $\dfrac 1 2$.

Hence this is modelled by a discrete uniform distribution with parameter $2$.


Casting of Die

Consider the exercise of casting a fair die.

There are $6$ equally probable outcomes: $1$, $2$, $3$, $4$, $5$ and $6$, each with a probability of $\dfrac 1 6$.

Hence this is modelled by a discrete uniform distribution with parameter $6$.


Random Digits

Consider the exercise of selecting a random digit.

There are $10$ equally probable outcomes in the integer interval $\closedint 0 9$, each with a probability of $\dfrac 1 {10}$.

Hence this is modelled by a discrete uniform distribution with parameter $10$.


Also known as

A discrete uniform distribution is referred to in some sources as just a uniform distribution.

Such sources may also refer to a continuous uniform distribution as a rectangular distribution, and so meaning is not compromised.


Also see

  • Results about the discrete uniform distribution can be found here.


Technical Note

The $\LaTeX$ code for \(\DiscreteUniform {n}\) is \DiscreteUniform {n} .

When the argument is a single character, it is usual to omit the braces:

\DiscreteUniform n


Sources