Hello folks! welcome back to a new edition of our tutorial on PHP. In this tutorial guide, we are going to be studying about the PHP stats_dens_uniform() Function.

The built-in

The built-in

*stats_dens_uniform()*function is a probability density function of the uniform distribution.## Syntax

Following below is the syntax to use this function -

float stats_dens_uniform( float $x, float $a, float $b )

## Parameter Details

Sr.No | Parameter | Description |
---|---|---|

1 | x | The value at which the probability density is calculated |

2 |
| The lower bound of the distribution |

3 |
| The upper bound of the distribution |

## Return Value

This built-in function returns the probability density at x, where the random variable can follow the uniform distribution of which the lower bound and upper bound are a and b respectively, or

*false*on failure.## Dependencies

This built-in function was first introduced in statistics extension (PHP version 4.0.0 and PEAR v1.4.0). In this tutorial guide, we used the latest release of stats-2.0.3 (PHP v7.0.0 or newer and PEAR version 1.4.0 or newer).

### Example1

The following example below computes the probability density for condition

*A <= X <= B -*<?php var_dump(stats_dens_uniform(2.5, 1, 3)); // A <= X <= B ?>

#### Output

When the above code is executed, it will produce the following result -

float(0.5)

### Example2

The following example below computes the probability density for condition

*X < A*-<?php var_dump(stats_dens_uniform(0, 1, 3)); // X < A ?>

#### Output

When the above code is executed, it will produce the following output -

float(0)

### Example3

The following example below computes the probability density for condition

*X > B*-<?php var_dump(stats_dens_uniform(4, 1, 3)); // X > B ?>

#### Output

When the above code is executed, it will produce the following output -

float(0)

### Example4

The following below is an error case. In the below example, we have passed

*A == B*. A warning is shown in logs -<?php // error cases var_dump(stats_dens_uniform(1, 1, 1)); // A == B ?>

#### Output

The above code will produce the following result and a warning in logs

*PHP Warning: stats_dens_uniform(): b == a == 1.000000E + 0*bool(false)

Alright guys! This is where we are going to be rounding up for this tutorial post. In our next tutorial, we are going to be discussing about the built-in PHP

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*stats_dens_weibull()*Function.Feel free to ask your questions where necessary and we will attend to them as soon as possible. If this tutorial was helpful to you, you can use the share button to share this tutorial.

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Thanks for reading and bye for now.