## NormDist(x, mean, sd)

##### Last updated June 14, 2003

**Version:** 1 |
**Requires:** CF5 |
**Library:** MathLib

**Description:**

Calculates the normal distribution for a given mean and standard deviation with cumulative=true. Equivalent to the MS Excel function NORMDIST(x,mean,standard_dev, 1). This code is based on the C++ version by Oliver Maag
(http://www.alina.ch/oliver/faq-excel-normdist.shtml)

**Return Values:**

Returns a number.

**Example:**

```
<cfset val = 4.2>
<cfset mean = 4.7>
<cfset SD = 0.65>
<cfset nDist = NormDist(val, mean, SD)>
<cfoutput>#nDist#</cfoutput>
```

**Parameters:**

Name | Description | Required |
---|---|---|

x | Value to compute the cumulative normal distribution for. | Yes |

mean | Mean value. | Yes |

sd | Standard deviation. | Yes |

**Full UDF Source: **

```
/**
* Calculates the normal distribution for a given mean and standard deviation with cumulative=true
*
* @param x Value to compute the cumulative normal distribution for. (Required)
* @param mean Mean value. (Required)
* @param sd Standard deviation. (Required)
* @return Returns a number.
* @author Rob Ingram (rob.ingram@broadband.co.uk)
* @version 1, June 14, 2003
*/
function NormDist(x, mean, sd) {
var res = 0.0;
var x2 = 0.0;
var oor2pi = 0.0;
var t = 0.0;
x2 = (x - mean) / sd;
if (x2 eq 0) res = 0.5;
else
{
oor2pi = 1/(sqr(2.0 * 3.14159265358979323846));
t = 1 / (1.0 + 0.2316419 * abs(x2));
t = t * oor2pi * exp(-0.5 * x2 * x2)
* (0.31938153 + t
* (-0.356563782 + t
* (1.781477937 + t
* (-1.821255978 + t * 1.330274429))));
if (x2 gte 0)
{
res = 1.0 - t;
}
else
{
res = t;
}
}
return res;
}
```

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