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# PHP | stats_dens_chisquare() Function

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_chisquare() Function.

The built-in stats_dens_chisquare() function is the probability density function of the chi-square distribution.

## Syntax

Following below is the syntax to use this function -

`float stats_dens_chisquare( float \$x,  float \$dfr )`

## Parameter Details

Sr.NoParameterDescription
1

x

The value at which the probability density is calculated.

2

dfr

The degree of freedom of the density.

## Return Value

This built-in function returns the probability density at x, where the random variable can follow the chi-square distribution of whose the degree of freedom is dfr, else it returns 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 each x -

```<?php
// check for each x
foreach (range(0.5, 3, 0.5) as \$x) {
var_dump(round(stats_dens_chisquare(\$x, 3), 6));
echo "<br>";
}
?>```

#### Output

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

```float(0.219696)
float(0.241971)
float(0.230799)
float(0.207554)
float(0.180722)
float(0.15418)```

### Example2

The following example below computes the probability density for each dfr -

```<?php
// check for each dfr
foreach (range(0.5, 3, 0.5) as \$dfr) {
var_dump(round(stats_dens_chisquare(1, \$dfr), 6));
echo "<br>";
}
?>```

#### Output

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

```float(0.140674)
float(0.241971)
float(0.294304)
float(0.303265)
float(0.281348)
float(0.241971)```

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 stats_dens_exponential() 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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