diff --git a/src/test/java/org/apache/commons/math/stat/StatUtilsTest.java b/src/test/java/org/apache/commons/math/stat/StatUtilsTest.java
index 905f772b9..1b1d74155 100644
--- a/src/test/java/org/apache/commons/math/stat/StatUtilsTest.java
+++ b/src/test/java/org/apache/commons/math/stat/StatUtilsTest.java
@@ -424,46 +424,46 @@ public final class StatUtilsTest extends TestCase {
     }
     
     
-	/**
-	 * Run the test with the values 50 and 100 and assume standardized values 
-	 */
+    /**
+     * Run the test with the values 50 and 100 and assume standardized values    
+     */
 
-	public void testNormalize1() {
-		double sample[] = { 50, 100 };
-		double expectedSample[] = { -25 / Math.sqrt(1250), 25 / Math.sqrt(1250) };
-		double[] out = StatUtils.normalize(sample);
-		for (int i = 0; i < out.length; i++) {
-			assertEquals(out[i], expectedSample[i]);
-		}
+    public void testNormalize1() {
+        double sample[] = { 50, 100 };
+        double expectedSample[] = { -25 / Math.sqrt(1250), 25 / Math.sqrt(1250) };
+        double[] out = StatUtils.normalize(sample);
+        for (int i = 0; i < out.length; i++) {
+            assertEquals(out[i], expectedSample[i]);
+        }
 
-	}
+    }
 
-	/**
-	 * Run with 77 random values, assuming that the outcome has a mean of 0 and a standard deviation of 1 with a
-	 * precision of 1E-10.
-	 */
+    /**
+     * Run with 77 random values, assuming that the outcome has a mean of 0 and a standard deviation of 1 with a
+     * precision of 1E-10.
+     */
 
-	public void testNormalize2() {
-		// create an sample with 77 values 
-		int length = 77;
-		double sample[] = new double[length];
-		for (int i = 0; i < length; i++) {
-			sample[i] = Math.random();
-		}
-		// normalize this sample
-		double standardizedSample[] = StatUtils.normalize(sample);
+    public void testNormalize2() {
+        // create an sample with 77 values    
+        int length = 77;
+        double sample[] = new double[length];
+        for (int i = 0; i < length; i++) {
+            sample[i] = Math.random();
+        }
+        // normalize this sample
+        double standardizedSample[] = StatUtils.normalize(sample);
 
-		DescriptiveStatistics stats = new DescriptiveStatistics();
-		// Add the data from the array
-		for (int i = 0; i < length; i++) {
-			stats.addValue(standardizedSample[i]);
-		}
-		// the calculations do have a limited precision  
-		double distance = 1E-10;
-		// check the mean an standard deviation
-		assertEquals(0.0, stats.getMean(), distance);
-		assertEquals(1.0, stats.getStandardDeviation(), distance);
+        DescriptiveStatistics stats = new DescriptiveStatistics();
+        // Add the data from the array
+        for (int i = 0; i < length; i++) {
+            stats.addValue(standardizedSample[i]);
+        }
+        // the calculations do have a limited precision    
+        double distance = 1E-10;
+        // check the mean an standard deviation
+        assertEquals(0.0, stats.getMean(), distance);
+        assertEquals(1.0, stats.getStandardDeviation(), distance);
 
-	}
+    }
     
 }