import java.util.*;

public class UniformVarianceExample {

    public static void main (String[] argv)
    {
        double n = 100;                

        // First estimate the mean.
        double total = 0;
        ArrayList<Double> data = new ArrayList<Double> ();
        for (int i=0; i<n; i++) {
            double x = RandTool.uniform ();   
            total += x;
            data.add (x);                       // Store for later use in variance estimate.
        }
        double mu_p = total / n;       
        System.out.println ("Mean estimate: " + mu_p);   
        
        // Now the variance.
        double varTotal = 0;
        for (double x: data) {
            varTotal += (x - mu_p) * (x - mu_p);
        }
        double sigma_p = Math.sqrt ( (1.0/(n-1) * varTotal) );
        System.out.println ("Std-dev estimate: " + sigma_p);

        // One can now use mu_p and sigma_p in Normal-distribution formulas.
    }

}