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<blockquote data-quote="FrogReaver" data-source="post: 7565509" data-attributes="member: 6795602">I think this might help.In probability, all the probabilities must add up to 100%.&nbsp; So no matter how I want to delimit a particular population, if that population contains members that don't fit the normal categories associated with the chosen delimiter then the solution is to add in a category &quot;not X&quot; so that these members of the population have a place to get accounted for in our categorical breakdown (otherwise the probabilities wouldn't add to 100%).&nbsp; In probability the population determines whether the &quot;not X&quot; category needs added.&nbsp; In probability you would use the same kind of title for a graph where you did not have to add in the &quot;not X&quot; category and for a graph where it needed to be added in.&nbsp; In probability you always are required to clearly specify your population.So from my perspective which leans heavily on mathematical probability understanding.&nbsp; If their population of active characters only included characters with subclasses then I think we both agree that the proper graph title would be &quot;Subclass Distribution (Active Characters)&quot;.&nbsp; In this context a graph of a population of active characters, some without subclasses, would then also be titled the same way because it's still a graph of the same thing no matter whether some members of the population don't have subclasses.&nbsp; The only difference is that the first graph wouldn't have a &quot;no subclass&quot; category because it wouldn't be needed but the later graph would have a &quot;no subclass&quot; category because it would be needed.Hopefully that helps clarify where I'm coming from.</blockquote>

[QUOTE="FrogReaver, post: 7565509, member: 6795602"] I think this might help. In probability, all the probabilities must add up to 100%. So no matter how I want to delimit a particular population, if that population contains members that don't fit the normal categories associated with the chosen delimiter then the solution is to add in a category "not X" so that these members of the population have a place to get accounted for in our categorical breakdown (otherwise the probabilities wouldn't add to 100%). In probability the population determines whether the "not X" category needs added. In probability you would use the same kind of title for a graph where you did not have to add in the "not X" category and for a graph where it needed to be added in. In probability you always are required to clearly specify your population. So from my perspective which leans heavily on mathematical probability understanding. If their population of active characters only included characters with subclasses then I think we both agree that the proper graph title would be "Subclass Distribution (Active Characters)". In this context a graph of a population of active characters, some without subclasses, would then also be titled the same way because it's still a graph of the same thing no matter whether some members of the population don't have subclasses. The only difference is that the first graph wouldn't have a "no subclass" category because it wouldn't be needed but the later graph would have a "no subclass" category because it would be needed. Hopefully that helps clarify where I'm coming from. [/QUOTE]

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