diff --git a/src/OSPSuite.Core/Domain/Formulas/DiscreteDistributionFormula.cs b/src/OSPSuite.Core/Domain/Formulas/DiscreteDistributionFormula.cs
index 91003bc34..08e6d6cb4 100644
--- a/src/OSPSuite.Core/Domain/Formulas/DiscreteDistributionFormula.cs
+++ b/src/OSPSuite.Core/Domain/Formulas/DiscreteDistributionFormula.cs
@@ -21,7 +21,7 @@ public override double CalculateValueFromPercentile(double percentile, IUsingFor
       {
          return percentile >= 0.5 ? Mean(refObject) : 0; 
       }
-
+         
       public override double ProbabilityDensityFor(double value, IUsingFormula refObject)
       {
          return value == Mean(refObject) ? 1 : 0;
diff --git a/tests/OSPSuite.Core.Tests/Domain/DistributionFormulaFactorySpecs.cs b/tests/OSPSuite.Core.Tests/Domain/DistributionFormulaFactorySpecs.cs
index fe878a387..1af269ae9 100644
--- a/tests/OSPSuite.Core.Tests/Domain/DistributionFormulaFactorySpecs.cs
+++ b/tests/OSPSuite.Core.Tests/Domain/DistributionFormulaFactorySpecs.cs
@@ -93,6 +93,33 @@ public void distributed_parameter_should_return_correct_value()
       }
    }
 
+   public class When_updating_the_value_of_a_discrete_distribution_mean_parameter : concern_for_DistributionFormulaFactory
+   {
+      protected DiscreteDistributionFormula _discreteDistribution;
+      protected IParameter _meanParam;
+
+      protected override void Context()
+      {
+         base.Context();
+         _meanParam = new Parameter().WithName(Constants.Distribution.MEAN).WithDimension(_dim).WithValue(0.43);
+         _distributedParam.Add(_meanParam);
+         _discreteDistribution = sut.CreateDiscreteDistributionFormulaFor(_distributedParam, _meanParam);
+         _distributedParam.Formula = _discreteDistribution;
+      }
+
+      protected override void Because()
+      {
+         _meanParam.Value = 0.43 * 0.92;
+         _distributedParam.IsFixedValue = false;
+      }
+
+      [Observation]
+      public void distributed_parameter_should_return_correct_value()
+      {
+         _distributedParam.Value.ShouldBeEqualTo(0.43 * 0.92);
+      }
+   }
+
    public class When_creating_lognormal_distribution : concern_for_DistributionFormulaFactory
    {
       protected LogNormalDistributionFormula _logNormalDistribution;