normal_cdf

Evaluates the standard normal (Gaussian) distribution function.

Synopsis

#include <imsls.h>

float imsls_f_normal_cdf (float x)

The type double function is imsls_d_normal_cdf.

Required Arguments

float x (Input)
Point at which the normal distribution function is to be evaluated.

Return Value

The probability that a normal random variable takes a value less than or equal to x.

Description

Function imsls_f_normal_cdf evaluates the distribution function, F(x), of a standard normal (Gaussian) random variable as follows:

 

The value of the distribution function at the point x is the probability that the random variable takes a value less than or equal to x.

The standard normal distribution (for which imsls_f_normal_cdf is the distribution function) has mean of 0 and variance of 1. The probability that a normal random variable with mean μ and variance σ2 is less than y is given by imsls_f_normal_cdf evaluated at (y − μ)/σ.

 

Figure 1,  Plot of F(x)

Example

Suppose X is a normal random variable with mean 100 and variance 225. This example finds the probability that X is less than 90 and the probability that X is between 105 and 110.

 

#include <imsls.h>

#include <stdio.h>

 

int main()

{

    float      p, x1, x2;

 

    x1  = (90.0-100.0)/15.0;

    p   = imsls_f_normal_cdf(x1);

    printf("The probability that X is less than 90 "

        "is %6.4f\n", p);

 

    x1 = (105.0-100.0)/15.0;

    x2 = (110.0-100.0)/15.0;

    p  = imsls_f_normal_cdf(x2) - imsls_f_normal_cdf(x1);

    printf("The probability that X is between 105 and "

        "110 is %6.4f\n", p);

}

Output

 

The probability that X is less than 90 is 0.2525

The probability that X is between 105 and 110 is 0.1169