Skip to content
Related Articles

Related Articles

Improve Article

Random nextGaussian() method in Java with Examples

  • Last Updated : 07 Jan, 2019
Geek Week

The nextGaussian() method of Random class returns the next pseudorandom, Gaussian(normally) distributed double value with mean 0.0 and standard deviation 1.0 from the random number generator’s sequence.

Syntax:

public double nextGaussian()

Parameters: The function does not accepts any parameter.

Return Value: This method returns the next pseudorandom Gaussian distributed double number with mean 0.0 and standard deviation 1.0.

Exception: The function does not throws any exception.



Program below demonstrates the above mentioned function:

Program 1:




// program to demonstrate the
// function java.util.Random.nextGaussian()
  
import java.util.*;
public class GFG {
    public static void main(String[] args)
    {
  
        // create random object
        Random r = new Random();
  
        // check next Gaussian value and print it
        System.out.println("Next Gaussian value is = "
                           + r.nextGaussian());
    }
}
Output:
Next Gaussian value is = 0.3350871100964153

Program 2:




// program to demonstrate the
// function java.util.Random.nextGaussian()
  
import java.util.*;
public class GFG {
    public static void main(String[] args)
    {
  
        // create random object
        Random r = new Random();
  
        // check next Gaussian value and print it
        System.out.println("Next Gaussian value is = "
                           + r.nextGaussian());
    }
}
Output:
Next Gaussian value is = 1.5685150659018154

Attention reader! Don’t stop learning now. Get hold of all the important Java Foundation and Collections concepts with the Fundamentals of Java and Java Collections Course at a student-friendly price and become industry ready. To complete your preparation from learning a language to DS Algo and many more,  please refer Complete Interview Preparation Course.




My Personal Notes arrow_drop_up
Recommended Articles
Page :