Monte carlo simulation of the PI value

MonteCarloToolbox.java

package model;

public class MonteCarloToolbox {

	public static boolean[] dartThrow(int r, int d) {
		boolean[] booleanArray = new boolean[d];
		for (int i = 0; i < d; i++) {
			double xCoord = Math.random() * r;
			double yCoord = Math.random() * r;
			// condition check
			if ((Math.pow(xCoord,2) + Math.pow(yCoord,2)) <= r*r) {
				booleanArray[i] = true;
			} else {
				booleanArray[i] = false;
			}
		}
		return booleanArray;
	}

	// calculating pi from throwing results
	public static double piEstimater(boolean[] h, int d) {
		int trueCounter = 0;
		for (int i = 0; i < h.length; i++) {
			if (h[i] == true) {
				trueCounter++;
			}
		}
		return 4 * ((double) trueCounter / d);
	}

	// printing results
	public static void printer(double[] a) {
		System.out.println("    Pi Estimation Tool   ");
		System.out.println("-------------------------");
		for (int i = 0; i < a.length; i++) {
			System.out.print("Trial [" + i + "]: π = ");
			System.out.printf("%6f\n", a[i]);
		}
	}

	public static void main(String[] args) {
		int radius = 1;
		int darts;
		int trials;

		// Enter the number of darts to calculate for
		darts = 50*1000;
		// Enter the number of trials to calculate for
		trials = 20;

		double[] arrayOfEstimates = new double[trials];
		for (int i = 0 ; i < arrayOfEstimates.length ; i++) {
			boolean[] hitCounter = dartThrow(radius, darts);
			double piEstimate = piEstimater(hitCounter, darts);
			arrayOfEstimates[i] = piEstimate;
		}

		printer(arrayOfEstimates);
	}

}