diff --git a/virtdata-lib-basics/src/main/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_vector/NormalizeVector.java b/virtdata-lib-basics/src/main/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_vector/NormalizeVector.java
index 479386478..48ff7f651 100644
--- a/virtdata-lib-basics/src/main/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_vector/NormalizeVector.java
+++ b/virtdata-lib-basics/src/main/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_vector/NormalizeVector.java
@@ -37,9 +37,9 @@ public class NormalizeVector implements Function<List<Double>,List<Double>> {
         for (Double scalar : doubles) {
             accumulator+=scalar*scalar;
         }
-        double vectorLen = Math.sqrt(accumulator);
+        double scalarLen = Math.sqrt(accumulator);
         for (double scalarComponent : doubles) {
-            unit.add(scalarComponent/vectorLen);
+            unit.add(scalarComponent/scalarLen);
         }
         return unit;
     }
diff --git a/virtdata-lib-basics/src/main/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_vector/UniformVectorSizedStepped.java b/virtdata-lib-basics/src/main/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_vector/UniformVectorSizedStepped.java
index b9e9de8c8..4fea50fae 100644
--- a/virtdata-lib-basics/src/main/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_vector/UniformVectorSizedStepped.java
+++ b/virtdata-lib-basics/src/main/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_vector/UniformVectorSizedStepped.java
@@ -58,7 +58,7 @@ public class UniformVectorSizedStepped implements LongFunction<List<Double>> {
         this.funcs = new LongToDoubleFunction[dim];
         for (int i = 0; i < dim; i++) {
             if (i<dims.length/2) {
-                funcs[i]=new HashedDoubleRange(dims[i<<1].doubleValue(),dims[i<<1].doubleValue()+1);
+                funcs[i]=new HashedDoubleRange(dims[i<<1].doubleValue(),dims[(i<<1)+1].doubleValue());
             } else {
                 funcs[i]=new HashedDoubleRange(0.0d,1.0d);
             }
diff --git a/virtdata-lib-basics/src/test/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_vector/UniformVectorSteppedTest.java b/virtdata-lib-basics/src/test/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_vector/UniformVectorSteppedTest.java
index c73f30857..cebe356ac 100644
--- a/virtdata-lib-basics/src/test/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_vector/UniformVectorSteppedTest.java
+++ b/virtdata-lib-basics/src/test/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_vector/UniformVectorSteppedTest.java
@@ -16,8 +16,10 @@
 
 package io.nosqlbench.virtdata.library.basics.shared.from_long.to_vector;
 
+import org.assertj.core.data.Offset;
 import org.junit.jupiter.api.Test;
 
+import java.util.DoubleSummaryStatistics;
 import java.util.List;
 
 import static org.assertj.core.api.Assertions.assertThat;
@@ -42,13 +44,26 @@ public class UniformVectorSteppedTest {
     @Test
     public void testUniformVectorSteppedHasRanges() {
         UniformVectorSizedStepped f3 = new UniformVectorSizedStepped(4,3.0,5.0,7.0,9.0);
+        DoubleSummaryStatistics[] dssa = new DoubleSummaryStatistics[] {
+            new DoubleSummaryStatistics(),
+            new DoubleSummaryStatistics(),
+            new DoubleSummaryStatistics(),
+            new DoubleSummaryStatistics()
+        };
         for (int i = 0; i < 1000; i++) {
             List<Double> v4 = f3.apply(i);
-            assertThat(v4.get(0)).isBetween(3.0d,5.0d);
-            assertThat(v4.get(1)).isBetween(7.0d,9.0d);
-            assertThat(v4.get(2)).isBetween(0.0d,1.0d);
-            assertThat(v4.get(3)).isBetween(0.0d,1.0d);
+            for (int j = 0; j <= 3; j++) {
+                dssa[j].accept(v4.get(j));
+            }
         }
+        assertThat(dssa[0].getMin()).isCloseTo(3.0d, Offset.offset(0.1d));
+        assertThat(dssa[0].getMax()).isCloseTo(5.0d, Offset.offset(0.1d));
+        assertThat(dssa[1].getMin()).isCloseTo(7.0d, Offset.offset(0.1d));
+        assertThat(dssa[1].getMax()).isCloseTo(9.0d, Offset.offset(0.1d));
+        assertThat(dssa[2].getMin()).isCloseTo(0.0d, Offset.offset(0.1d));
+        assertThat(dssa[2].getMax()).isCloseTo(1.0d, Offset.offset(0.1d));
+        assertThat(dssa[3].getMin()).isCloseTo(0.0d, Offset.offset(0.1d));
+        assertThat(dssa[3].getMax()).isCloseTo(1.0d, Offset.offset(0.1d));
     }
 
 }