Index: lams_tool_assessment/conf/language/lams/ApplicationResources.properties
===================================================================
diff -u -raa932dd995a61adeed918456c6257a4a9a9cea74 -r83fc3f4fbaa1c8985a2ecdaa48627c489b515a66
--- lams_tool_assessment/conf/language/lams/ApplicationResources.properties	(.../ApplicationResources.properties)	(revision aa932dd995a61adeed918456c6257a4a9a9cea74)
+++ lams_tool_assessment/conf/language/lams/ApplicationResources.properties	(.../ApplicationResources.properties)	(revision 83fc3f4fbaa1c8985a2ecdaa48627c489b515a66)
@@ -351,7 +351,7 @@
 message.qb.modified.update = The question in Question Bank will be updated
 message.qb.modified.version = A new version of the question will be created in Question Bank
 message.qb.modified.new = A new question will be created in Question Bank
-label.qb.stats = Item analysis
+label.qb.stats = Post-activity item analysis
 label.qb.participant.count = Test participant count
 label.qb.difficulty.index = Difficulty index
 label.qb.discrimination.index = Discrimination index
@@ -429,7 +429,7 @@
 label.group.stats = Groups Analytics
 label.median.mark = Median:
 label.modes.mark = Mode:
-label.qb.stats.tooltip = Item analysis is a technique that analyses the student answers to evaluate the effectiveness of questions in an exam.
+label.qb.stats.tooltip = Item analysis is a technique that analyses the student answers to evaluate the effectiveness of questions in an exam. Only students who finished the activity are taken into consideration.
 label.qb.difficulty.index.tooltip = The difficulty index represents a percentage of the students responses that answered the question correctly. This metric takes a value between 0 and 1. High values indicate that the question is easy, while low values indicate that is difficult.
 label.qb.discrimination.index.tooltip = Discrimination index measures how well a question distinguishes between students with more knowledge or skill from those with less. Values close to +1 indicate that the question does a good job of discriminating between high performers and low performers.
 label.qb.point.biserial.tooltip = Point-biserial measures the correlation between the scores on the entire exam and the scores on the single question (where 1 = correct answer and 0 = incorrect answer). A large correlation indicates that a question is measuring the same construct as the overall exam measures.