diff --git a/src/Numerics/Distributions/Categorical.cs b/src/Numerics/Distributions/Categorical.cs
index 5084c966..538b72af 100644
--- a/src/Numerics/Distributions/Categorical.cs
+++ b/src/Numerics/Distributions/Categorical.cs
@@ -213,7 +213,18 @@ namespace MathNet.Numerics.Distributions
         /// </summary>
         public double Mean
         {
-            get { return _pmfNormalized.Mean(); }
+            get
+            {
+                var sum = 0.0;
+                // Mean = Sum(x * f(x), x=0..N)
+                // where f(x) is the probability mass function, and N is the maximum value.
+                for (int i = 0; i < _pmfNormalized.Length; i++)
+                {
+                    sum += i * _pmfNormalized[i];
+                }
+
+                return sum;
+            }
         }
 
         /// <summary>
diff --git a/src/UnitTests/DistributionTests/Discrete/CategoricalTests.cs b/src/UnitTests/DistributionTests/Discrete/CategoricalTests.cs
index 9f38c792..70fc55ca 100644
--- a/src/UnitTests/DistributionTests/Discrete/CategoricalTests.cs
+++ b/src/UnitTests/DistributionTests/Discrete/CategoricalTests.cs
@@ -159,6 +159,75 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Discrete
             Assert.That(() => b.P = _badP, Throws.ArgumentException);
         }
 
+        /// <summary>
+        /// Validate mean.
+        /// </summary>
+        /// <param name="p">An array of nonnegative ratios.</param>
+        /// <param name="mean">Expected value.</param>
+        [TestCase(new double[] { 0, 0.25, 0.5, 0.25 }, 2)]
+        [TestCase(new double[] { 0, 1, 2, 1 }, 2)]
+        [TestCase(new double[] { 0, 0.5, 0.5 }, 1.5)]
+        [TestCase(new double[] { 0.75, 0.25 }, 0.25)]
+        [TestCase(new double[] { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 }, 5)]
+        public void ValidateMean(double[] p, double mean)
+        {
+            var n = new Categorical(p);
+            AssertHelpers.AlmostEqual(mean, n.Mean, 14);
+        }
+
+        /// <summary>
+        /// Validate standard deviation.
+        /// </summary>
+        /// <param name="p">An array of nonnegative ratios.</param>
+        /// <param name="stdDev">Standard deviation.</param>
+        [TestCase(new double[] { 0, 0.25, 0.5, 0.25 }, 0.70710678118654752440084436210485)]
+        [TestCase(new double[] { 0, 1, 2, 1 }, 0.70710678118654752440084436210485)]
+        [TestCase(new double[] { 0, 0.5, 0.5 }, 0.5)]
+        [TestCase(new double[] { 0.75, 0.25 }, 0.43301270189221932338186158537647)]  //Sqrt((0.25*0.25)*.75+(.75*.75)*.25)
+        [TestCase(new double[] { 1, 0, 1 }, 1)]
+        public void ValidateStdDev(double[] p, double stdDev)
+        {
+            var n = new Categorical(p);
+            AssertHelpers.AlmostEqual(stdDev, n.StdDev, 14);
+        }
+
+        /// <summary>
+        /// Validate variance.
+        /// </summary>
+        /// <param name="p">An array of nonnegative ratios.</param>
+        /// <param name="variance">Variance.</param>
+        [TestCase(new double[] { 0, 0.25, 0.5, 0.25 }, 0.5)]
+        [TestCase(new double[] { 0, 1, 2, 1 }, 0.5)]
+        [TestCase(new double[] { 0, 0.5, 0.5 }, 0.25)]
+        [TestCase(new double[] { 0.75, 0.25 }, 0.1875)]  //(0.25*0.25)*.75+(.75*.75)*.25)
+        [TestCase(new double[] { 1, 0, 1 }, 1)]
+        public void ValidateVariance(double[] p, double variance)
+        {
+            var n = new Categorical(p);
+            AssertHelpers.AlmostEqual(variance, n.Variance, 14);
+        }
+
+        /// <summary>
+        /// Validate median.
+        /// </summary>
+        /// <param name="p">An array of nonnegative ratios.</param>
+        /// <param name="median">Median.</param>
+        [TestCase(new double[] { 0, 0.25, 0.5, 0.25 }, 2)]
+        [TestCase(new double[] { 0, 1, 2, 1 }, 2)]
+        [TestCase(new double[] { 0.75, 0.25 }, 0)]
+        // The following test case has median of 5, because:
+        // P(X < 5) = (1+2+6+3+2)/29 = 14/29 < 0.5.
+        // P(X <= 5) = 19/29 > 0.5.
+        [TestCase(new double[] { 1, 2, 6, 3, 2, 5, 1, 1, 0, 1, 7 }, 5)]
+        // TODO: Find out the expected behavour of Median in ambiguous cases like the following:
+        //[TestCase(new double[] { 0, 0.5, 0.5 }, ???)]
+        //[TestCase(new double[] { 1, 0, 1 }, ???)]
+        public void ValidateMedian(double[] p, int median)
+        {
+            var n = new Categorical(p);
+            Assert.AreEqual(median, n.Median);
+        }
+
         /// <summary>
         /// Can sample static.
         /// </summary>