Scale the expected for the Chi-square test
diff --git a/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/ContinuousDistributionAbstractTest.java b/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/ContinuousDistributionAbstractTest.java
index 2ccd017..5412fea 100644
--- a/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/ContinuousDistributionAbstractTest.java
+++ b/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/ContinuousDistributionAbstractTest.java
@@ -23,6 +23,7 @@
 import org.apache.commons.math3.analysis.UnivariateFunction;
 import org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator;
 import org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator;
+import org.apache.commons.math3.util.MathArrays;
 import org.apache.commons.rng.simple.RandomSource;
 import org.junit.jupiter.api.Test;
 import org.junit.jupiter.api.AfterEach;
@@ -467,8 +468,10 @@
         final double[] quartiles = TestUtils.getDistributionQuartiles(getDistribution());
         final double[] expected = {0.25, 0.25, 0.25, 0.25};
 
-        // Use fixed seed.
         final int sampleSize = 1000;
+        MathArrays.scaleInPlace(sampleSize, expected);
+
+        // Use fixed seed.
         final ContinuousDistribution.Sampler sampler =
             getDistribution().createSampler(RandomSource.create(RandomSource.WELL_19937_C, 123456789L));
         final double[] sample = TestUtils.sample(sampleSize, sampler);
diff --git a/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/DiscreteDistributionAbstractTest.java b/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/DiscreteDistributionAbstractTest.java
index 763c67f..ebafcbb 100644
--- a/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/DiscreteDistributionAbstractTest.java
+++ b/commons-statistics-distribution/src/test/java/org/apache/commons/statistics/distribution/DiscreteDistributionAbstractTest.java
@@ -17,6 +17,7 @@
 package org.apache.commons.statistics.distribution;
 
 import java.util.Arrays;
+import org.apache.commons.math3.util.MathArrays;
 import org.apache.commons.rng.simple.RandomSource;
 import org.junit.jupiter.api.AfterEach;
 import org.junit.jupiter.api.Assertions;
@@ -484,8 +485,10 @@
             Assertions.fail("Not enough of the PMF is tested during sampling: " + sum);
         }
 
-        // Use fixed seed.
         final int sampleSize = 1000;
+        MathArrays.scaleInPlace(sampleSize, expected);
+
+        // Use fixed seed.
         final DiscreteDistribution.Sampler sampler =
             getDistribution().createSampler(RandomSource.create(RandomSource.WELL_512_A, 1000));
         final int[] sample = TestUtils.sample(sampleSize, sampler);