diff --git a/Documentation/UsersGuide/CaseGroupsAndStatistics.md b/Documentation/UsersGuide/CaseGroupsAndStatistics.md
index 65f4dab7d7..8f0f723593 100644
--- a/Documentation/UsersGuide/CaseGroupsAndStatistics.md
+++ b/Documentation/UsersGuide/CaseGroupsAndStatistics.md
@@ -1,4 +1,3 @@
-
 ## Grid Case Groups and Statistics
 
 ![](images/GridCaseGroupTree.png)
@@ -51,17 +50,18 @@ The properties of an uncalculated and a calculated  **Statistics Case** is shown
 - **Percentile Setup**: Selects whether to calculate percentiles, what method and what percentile levels should be used. Turning this off speeds up the calculations.
 - **Well Data Source Case**: This option selects which set of **Simulation Wells** to be shown along with the statistical results. You can select one of the **Source Cases**.
  
->##### Percentile Methods
->
->Three Percentile methods are implemented:
->
->- **Interpolated Observation**
->The values are sorted, and the two observations representing the probabilities closest to the percentile are interpolated to find the value for the percentile. This is the default method.
->- **Nearest Observation**
->The values are sorted, and the first observation representing a probability higher or equal to the percentile probability is selected as the value for the percentile. This method is by some considered to be statistically more puristic.
->- **Histogram based estimate**
->A histogram is created and the percentile is calculated based on the histogram. This method will be faster when having a large number of realizations, because no value sorting is involved. You would however need several hundred realizations before this method should be considered.
->
+##### Percentile Methods
+
+Three Percentile methods are implemented:
+
+- **Interpolated Observation**
+The values are sorted, and the two observations representing the probabilities closest to the percentile are interpolated to find the value for the percentile. This is the default method.
+- **Nearest Observation**
+The values are sorted, and the first observation representing a probability higher or equal to the percentile probability is selected as the value for the percentile. This method is by some considered to be statistically more puristic.
+- **Histogram based estimate**
+A histogram is created and the percentile is calculated based on the histogram. This method will be faster when having a large number of realizations, because no value sorting is involved. You would however need several hundred realizations before this method should be considered.
+
+
 #### Viewing the results
 When the computation is complete, you have to create a 3D View on the **Statistics Case** to view the results. Use the Context menu available by right clicking the **Statistics Case** to create it.