value = x->GetValue ();

      // Create the RNG with a uniform distribution between 0 and 10.

      sum += value;

      Ptr<EmpiricalRandomVariable> x = CreateObject<EmpiricalRandomVariable> ();

      x->CDF ( 0.0,  0.0);

      x->CDF ( 5.0,  0.5);

      x->CDF (10.0,  1.0);

      // Calculate the mean of these values.

      double sum = 0.0;

      double value;

      for (uint32_t i = 0; i < N_MEASUREMENTS; ++i)

        {

          value = x->GetValue ();

          sum += value;

        }

      double valueMean = sum / N_MEASUREMENTS;

      // The expected value for the mean of the values returned by this

      // empirical distribution is the midpoint of the distribution

      //

      //     E[value]  =  5 .

      //

      double expectedMean = 5.0;

      // Test that values have approximately the right mean value.

      double TOLERANCE = expectedMean * 1e-2;

      NS_TEST_ASSERT_MSG_EQ_TOL (valueMean, expectedMean, TOLERANCE, "Wrong mean value.");