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 )

READ: PHP | stats_dens_beta() Function

Parameter Details

Sr.No	Parameter	Description
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)

READ: PHP | stats_dens_cauchy() Function

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.

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