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_cdf_normal() Function.

The built-in

The built-in

*stats_cdf_normal()*function can be used in calculating any one parameter of the normal distribution given values for the others.## Syntax

Following below is the syntax to use this function -

float stats_cdf_normal ( float $par1, float $par2, float $par3, int $which )

## Parameter Details

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

1 | par1 | The first parameter |

2 | par2 | The second parameter |

3 | par3 | The third parameter |

4 | which | The flag to determine what to be calculated |

## Return Value

This built-in PHP function returns the CDF, its inverse, or one of its parameters of the normal distribution. The kind of the return value and parameters (par1, par2, and par3) are determined by

The following table list the return value and parameters by which.

*which*.The following table list the return value and parameters by which.

- CDF denotes cumulative distribution function.

- x denotes the value of the random variable.

- mu denotes mean of normal distribution.

- sigma denotes the standard deviation of the normal distribution.

which | Return value | par1 | par2 | par3 |
---|---|---|---|---|

1 | CDF | x | mu | sigma |

2 | x | CDF | mu | sigma |

3 | mu | x | CDF | sigma |

4 | sigma | x | CDF | mu |

## 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

In the following example below, when

*which = 1*, calculate P from (X, MEAN, SD).- P is the integral from -infinity to X of the normal density. Input range: [0, 1].

- X is the upper limit of integration of the normal density.

- MEAN of the mean of the normal density.

- SD is the Standard Deviation of the normal density.

<?php // which = 1 : calculate P from (X, MEAN, SD) var_dump(round(stats_cdf_normal(1, 0, 1, 1), 6)); ?>

#### Output

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

float(0.841354)

### Example2

In the following example below, when

*which = 2*, calculate X from (P, MEAN, SD).- P is the integral from -infinity to X of the normal density. Input range: [0, 1].

- X is the upper limit of integration of the normal density.

- MEAN of the mean of the normal density.

- SD is the Standard Deviation of the normal density.

<?php // which = 2 : calculate X from (P, MEAN, SD) var_dump(round(stats_cdf_normal(0.841344746, 0, 1, 2), 6)); ?>

#### Output

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

float(1)

### Example3

In the following example below, when

*which = 3*, calculate MEAN from (P, X, SD).- P is the integral from -infinity to X of the normal density. Input range: [0, 1].

- X is the upper limit of integration of the normal density.

- MEAN of the mean of the normal density.

- SD is the Standard Deviation of the normal density.

<?php // which = 3 : calculate MEAN from (P, X, SD) var_dump(round(stats_cdf_normal(0.841344746, 1, 1, 3), 6)); ?>

#### Output

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

float(0)

### Example4

In the following example below, when

*which = 4*, calculate SD from (P, X, MEAN).- P is the integral from -infinity to X of the normal density. Input range: [0, 1].

- X is the upper limit of integration of the normal density.

- MEAN of the mean of the normal density.

- SD is the Standard Deviation of the normal density.

<?php // which = 4 : calculate SD from (P, X, MEAN) var_dump(round(stats_cdf_normal(0.841344746, 1, 0, 4), 6)); ?>

#### Output

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

float(1)

### Example5

Following is an error case. In the following example below

*which<1*, warning message is displayed in logs.<?php var_dump(stats_cdf_normal(1, 0, 1, 0)); // which < 1 ?>

#### Output

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

*PHP Warning: stats_cdf_normal(): Fourth parameter ought to be in the 1..4 range*.bool(false)

### Example6

Following is an error case. In the following example below

*which>4*, warning message is displayed in logs.<?php var_dump(stats_cdf_normal(1, 0, 1, 5)); // which > 4 ?>

#### Output

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

*PHP Warning: stats_cdf_normal(): Fourth parameter ought to be in the 1..4 range*.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

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.

Follow us on our various social media platforms to stay updated with our latest tutorials. You can also subscribe to our newsletter in order to get our tutorials delivered directly to your emails.

Thanks for reading and bye for now.

*php stats_cdf_poisson()*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.

Follow us on our various social media platforms to stay updated with our latest tutorials. You can also subscribe to our newsletter in order to get our tutorials delivered directly to your emails.

Thanks for reading and bye for now.