diff --git a/CHANGELOG.md b/CHANGELOG.md
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,4 +1,9 @@
 
+Version 6.2
+-----
+
+* Fixed the normalised version of TimingStats, after it is converted to SamplingStats. The deviation has a better approximation now.
+
 Version 6.1
 -----
 
diff --git a/Simulation/Aivika/Results.hs b/Simulation/Aivika/Results.hs
--- a/Simulation/Aivika/Results.hs
+++ b/Simulation/Aivika/Results.hs
@@ -1429,7 +1429,8 @@
       resultContainerMapProperty c "std" SamplingStatsDeviationId samplingStatsDeviation,
       resultContainerMapProperty c "var" SamplingStatsVarianceId samplingStatsVariance,
       resultContainerMapProperty c "min" SamplingStatsMinId samplingStatsMin,
-      resultContainerMapProperty c "max" SamplingStatsMaxId samplingStatsMax ] }
+      resultContainerMapProperty c "max" SamplingStatsMaxId samplingStatsMax,
+      resultContainerMapProperty c "normalised" SamplingStatsNormalisedId samplingStatsNormalised ] }
   where
     c = resultValueToContainer x
 
diff --git a/Simulation/Aivika/Results/Locale/English.hs b/Simulation/Aivika/Results/Locale/English.hs
--- a/Simulation/Aivika/Results/Locale/English.hs
+++ b/Simulation/Aivika/Results/Locale/English.hs
@@ -31,6 +31,7 @@
 englishResultDescription SamplingStatsMean2Id = "mean square"
 englishResultDescription SamplingStatsVarianceId = "variance"
 englishResultDescription SamplingStatsDeviationId = "deviation"
+englishResultDescription SamplingStatsNormalisedId = "is the statistics normalised?"
 englishResultDescription TimingStatsId = "timing statistics"
 englishResultDescription TimingStatsCountId = "count"
 englishResultDescription TimingStatsMinId = "minimum"
@@ -137,6 +138,7 @@
 englishResultTitle SamplingStatsMean2Id = "mean square"
 englishResultTitle SamplingStatsVarianceId = "variance"
 englishResultTitle SamplingStatsDeviationId = "deviation"
+englishResultTitle SamplingStatsNormalisedId = "normalised?"
 englishResultTitle TimingStatsId = "time-persistent stats"
 englishResultTitle TimingStatsCountId = "count"
 englishResultTitle TimingStatsMinId = "minimum"
diff --git a/Simulation/Aivika/Results/Locale/Russian.hs b/Simulation/Aivika/Results/Locale/Russian.hs
--- a/Simulation/Aivika/Results/Locale/Russian.hs
+++ b/Simulation/Aivika/Results/Locale/Russian.hs
@@ -31,6 +31,7 @@
 russianResultDescription SamplingStatsMean2Id = "среднее квадратов"
 russianResultDescription SamplingStatsVarianceId = "дисперсия"
 russianResultDescription SamplingStatsDeviationId = "среднеквадратическое отклонение"
+russianResultDescription SamplingStatsNormalisedId = "статистика нормализована?"
 russianResultDescription TimingStatsId = "временная статистика"
 russianResultDescription TimingStatsCountId = "количество"
 russianResultDescription TimingStatsMinId = "минимальное значение"
@@ -137,6 +138,7 @@
 russianResultTitle SamplingStatsMean2Id = "среднее квадратов"
 russianResultTitle SamplingStatsVarianceId = "дисперсия"
 russianResultTitle SamplingStatsDeviationId = "отклонение"
+russianResultTitle SamplingStatsNormalisedId = "нормализована?"
 russianResultTitle TimingStatsId = "временная статистика"
 russianResultTitle TimingStatsCountId = "количество"
 russianResultTitle TimingStatsMinId = "минимум"
diff --git a/Simulation/Aivika/Results/Locale/Types.hs b/Simulation/Aivika/Results/Locale/Types.hs
--- a/Simulation/Aivika/Results/Locale/Types.hs
+++ b/Simulation/Aivika/Results/Locale/Types.hs
@@ -105,6 +105,8 @@
                 -- ^ Property 'samplingStatsVariance'.
               | SamplingStatsDeviationId
                 -- ^ Property 'samplingStatsDeviation'.
+              | SamplingStatsNormalisedId
+                -- ^ Property 'samplingStatsNormalised'.
               | SamplingCounterId
                 -- ^ A 'SamplingCounter' value.
               | SamplingCounterValueId
diff --git a/Simulation/Aivika/Statistics.hs b/Simulation/Aivika/Statistics.hs
--- a/Simulation/Aivika/Statistics.hs
+++ b/Simulation/Aivika/Statistics.hs
@@ -78,8 +78,10 @@
                   -- ^ The maximum value among the samples.
                   samplingStatsMean  :: !Double,
                   -- ^ The average value.
-                  samplingStatsMean2 :: !Double 
+                  samplingStatsMean2 :: !Double, 
                   -- ^ The average square value.
+                  samplingStatsNormalised :: !Bool
+                  -- ^ Whether the statistics is normalised.
                 }
   deriving (Eq, Ord, Typeable, Generic)
 
@@ -114,7 +116,8 @@
                     samplingStatsMin   = 1 / 0,
                     samplingStatsMax   = (-1) / 0,
                     samplingStatsMean  = 0 / 0,
-                    samplingStatsMean2 = 0 / 0 }
+                    samplingStatsMean2 = 0 / 0,
+                    samplingStatsNormalised = False }
     
   addSamplingStats = addSamplingStatsGeneric
   
@@ -127,7 +130,8 @@
                     samplingStatsMin   = maxBound,
                     samplingStatsMax   = minBound,
                     samplingStatsMean  = 0 / 0,
-                    samplingStatsMean2 = 0 / 0 }
+                    samplingStatsMean2 = 0 / 0,
+                    samplingStatsNormalised = False }
     
   addSamplingStats = addSamplingStatsGeneric
 
@@ -140,12 +144,14 @@
                                  samplingStatsMin   = a,
                                  samplingStatsMax   = a,
                                  samplingStatsMean  = x,
-                                 samplingStatsMean2 = x * x }
+                                 samplingStatsMean2 = x * x,
+                                 samplingStatsNormalised = normalised }
   | otherwise  = SamplingStats { samplingStatsCount = count,
                                  samplingStatsMin   = minX,
                                  samplingStatsMax   = maxX,
                                  samplingStatsMean  = meanX,
-                                 samplingStatsMean2 = meanX2 }
+                                 samplingStatsMean2 = meanX2,
+                                 samplingStatsNormalised = normalised }
     where count  = 1 + samplingStatsCount stats
           minX   = a `seq` min a (samplingStatsMin stats)
           maxX   = a `seq` max a (samplingStatsMax stats)
@@ -155,17 +161,19 @@
           x      = convertToDouble a
           k1     = 1.0 / n
           k2     = (n - 1.0) / n
+          normalised = samplingStatsNormalised stats
 
 combineSamplingStatsGeneric :: ConvertableToDouble a =>
                                SamplingStats a -> SamplingStats a -> SamplingStats a
 combineSamplingStatsGeneric stats1 stats2
-  | c1 == 0   = stats2
-  | c2 == 0   = stats1
+  | c1 == 0   = stats2 { samplingStatsNormalised = normalised }
+  | c2 == 0   = stats1 { samplingStatsNormalised = normalised }
   | otherwise = SamplingStats { samplingStatsCount = c,
                                 samplingStatsMin   = minZ,
                                 samplingStatsMax   = maxZ,
                                 samplingStatsMean  = meanZ,
-                                samplingStatsMean2 = meanZ2 }
+                                samplingStatsMean2 = meanZ2,
+                                samplingStatsNormalised = normalised }
   where c1     = samplingStatsCount stats1
         c2     = samplingStatsCount stats2
         c      = c1 + c2
@@ -186,6 +194,7 @@
         meanZ2 = k1 * meanX2 + k2 * meanY2
         k1     = n1 / n
         k2     = n2 / n
+        normalised = samplingStatsNormalised stats1 || samplingStatsNormalised stats2
 
 -- | If allows combining statistics more efficiently if we know that the first argument can be a scalar.
 combineSamplingStatsEither :: SamplingData a => Either a (SamplingStats a) -> SamplingStats a -> SamplingStats a
@@ -195,8 +204,9 @@
 -- | Return the variance.
 samplingStatsVariance :: SamplingStats a -> Double
 samplingStatsVariance stats
-  | count == 1 = 0
-  | otherwise  = (meanX2 - meanX * meanX) * (n / (n - 1))
+  | count == 1                    = 0
+  | samplingStatsNormalised stats = meanX2 - meanX * meanX
+  | otherwise                     = (meanX2 - meanX * meanX) * (n / (n - 1))
     where count  = samplingStatsCount stats
           meanX  = samplingStatsMean stats
           meanX2 = samplingStatsMean2 stats
@@ -228,6 +238,7 @@
   showString ", std = " . shows (samplingStatsDeviation stats) . 
   showString ", min = " . shows (samplingStatsMin stats) . 
   showString ", max = " . shows (samplingStatsMax stats) .
+  (if samplingStatsNormalised stats then showString ", normalised = True" else id) .
   showString " }"
 
 instance Show a => Show (SamplingStats a) where
@@ -250,7 +261,12 @@
      showString "min = " . shows (samplingStatsMin stats) . 
      showString "\n" .
      showString tab .
-     showString "max = " . shows (samplingStatsMax stats)
+     showString "max = " . shows (samplingStatsMax stats) .
+     (if samplingStatsNormalised stats
+       then showString "\n" .
+            showString tab .
+            showString "normalised = True"
+       else id)
      
 -- | This is the timing statistics where data are bound to the time.
 data TimingStats a =
@@ -428,7 +444,8 @@
                   samplingStatsMin   = timingStatsMin stats,
                   samplingStatsMax   = timingStatsMax stats,
                   samplingStatsMean  = timingStatsMean stats,
-                  samplingStatsMean2 = timingStatsMean2 stats }
+                  samplingStatsMean2 = timingStatsMean2 stats,
+                  samplingStatsNormalised = True }
 
 -- | Show the summary of the statistics.       
 showTimingStats :: (Show a, TimingData a) => TimingStats a -> ShowS
diff --git a/aivika.cabal b/aivika.cabal
--- a/aivika.cabal
+++ b/aivika.cabal
@@ -1,5 +1,5 @@
 name:            aivika
-version:         6.1.1
+version:         6.2
 synopsis:        A multi-method simulation library
 description:
     Aivika is a discrete event simulation (DES) framework with support of activity-oriented,
