# UniformDistribution

Uniform probability distribution object

## Description

A `UniformDistribution` object consists of parameters and a model description for a uniform probability distribution.

The uniform distribution has a constant probability density function between its two parameters, lower (the minimum) and upper (the maximum). This distribution is appropriate for representing round-off errors in values tabulated to a particular number of decimal places.

The uniform distribution uses the following parameters.

ParameterDescriptionSupport
`lower`Lower parameter$-\infty
`upper`Upper parameter$lower

## Creation

Create a `UniformDistribution` probability distribution with specified parameter values object using `makedist`.

## Properties

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### Distribution Parameters

Lower parameter for the uniform distribution, specified as a scalar value.

Data Types: `single` | `double`

Upper parameter for the uniform distribution, specified as a scalar value greater than `lower`.

Data Types: `single` | `double`

### Distribution Characteristics

Logical flag for truncated distribution, specified as a logical value. If `IsTruncated` equals `0`, the distribution is not truncated. If `IsTruncated` equals `1`, the distribution is truncated.

Data Types: `logical`

Number of parameters for the probability distribution, specified as a positive integer value.

Data Types: `double`

Distribution parameter values, specified as a vector.

Data Types: `single` | `double`

Truncation interval for the probability distribution, specified as a vector containing the lower and upper truncation boundaries.

Data Types: `single` | `double`

### Other Object Properties

Probability distribution name, specified as a character vector.

Data Types: `char`

Distribution parameter descriptions, specified as a cell array of character vectors. Each cell contains a short description of one distribution parameter.

Data Types: `char`

Distribution parameter names, specified as a cell array of character vectors.

Data Types: `char`

## Object Functions

 `cdf` Cumulative distribution function `icdf` Inverse cumulative distribution function `iqr` Interquartile range `mean` Mean of probability distribution `median` Median of probability distribution `pdf` Probability density function `random` Random numbers `std` Standard deviation of probability distribution `truncate` Truncate probability distribution object `var` Variance of probability distribution

## Examples

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Create a uniform distribution object using the default parameter values.

`pd = makedist('Uniform')`
```pd = UniformDistribution Uniform distribution Lower = 0 Upper = 1 ```

Create a uniform distribution object by specifying parameter values.

`pd = makedist('Uniform','Lower',-4,'Upper',2)`
```pd = UniformDistribution Uniform distribution Lower = -4 Upper = 2 ```

Compute the interquartile range of the distribution

`r = iqr(pd)`
```r = 3 ```