I need help writing a function in java for the following Wri

I need help writing a function in java for the following:

Write a function to generate random gaussian numbers with a specified mean and standard distribution. As an example if I wanted to generate random numbers with a mean of 70 and a standard deviation of .5, I could code double gausRand = myRand.nextGaussian() *5 + 70. For this function you should treat a test as true if it returns a value within a specified range and false otherwise. For example, if my function were calculating gaussian values with a mean of 70 and a standard deviation of .5, it would return true if the number generated were 70.43 but would return false if the number generated were 70.51. Your function should be able to run n number of times and give the % accuracy after being run n number of times.

I will be using this to run various test to determine how many times I need to excute the code to be within 1% of the number and also .1%

Thanks

Solution

import java.util.*;
public class HelloWorld{
    //variable to hold number of attempts
    static int count=0;
  
    //function to check if genertaed number is within the range
    public static boolean isGaussian()
    {
        //increment the counter
        count++;
        //initialize guasian random number
        Random myRand=new Random();
        double gausRand = myRand.nextGaussian() *5 + 70;
        System.out.print(gausRand);
        //check if the number is in range
        if(gausRand-70 >=0 && gausRand-70<=0.5)
        return true;
        else
        return false;
    }
  
    //main function to trigger
     public static void main(String []args){
         //variable to hold correct times
         int correct=0;
         //run for 10 times
        for(int i=0;i<10;i++)
        {
            if(isGaussian())
            {
                correct++;
                System.out.println(\" is a gaussian\");
            }
            else
            System.out.println(\" is not gaussian\");
        }
      
        //display the % of accuracy
        System.out.println(\"% of accuracy is: \"+(100*correct)/count);
     }
}

Sample Output:

74.69503657642234 is not gaussian                                                                                                                               

70.19444031941912 is a gaussian                                                                                                                                 

70.25786184531226 is a gaussian                                                                                                                                 

69.05996072295738 is not gaussian                                                                                                                               

66.35345301425204 is not gaussian                                                                                                                               

69.10819841157641 is not gaussian                                                                                                                               

67.25230116108068 is not gaussian                                                                                                                               

68.43653873377706 is not gaussian                                                                                                                               

71.34828844657127 is not gaussian                                                                                                                               

72.08276324247845 is not gaussian                                                                                                                               

% of accuracy is: 20