PeterDonis said:
No, you're not. You're talking about your concept of "location". But as far as the statistical interpretation is concerned, your concept of "location" doesn't apply to it either.
I'm basing that on what is implicit in how you have been using the term "location". If you want to offer an explicit, rigorous definition of "location" instead of making me have to infer what you mean by it, by all means do so.Not in the cases I have described. In order for a question to even be asked in the first place, the concepts it is making use of have to make sense in the domain of discussion. Yours don't.
At this point I don't think I have anything further that is useful to contribute to this discussion.
Perhaps I am placing undue burden on others to infer what is meant. I have been working on the assumption that everyone is familiar with the idea of a 'finite region of space', and the notion of being 'within' that 'finite region of space'.
If at any point I am assuming too much, let me know and I can define what is meant more rigorously.
I'm going to assume that you are familiar with the concept of '3 dimensional space' and how to model/graph that using X, Y, and Z axes. I'm also assuming that , at some point during the course of your life you have made one, if not several, observations of boxes, be they cardboard or otherwise.
Now, we can model the 3D space of the box in the broader 3D space in which we find it. I'm assuming you know how to draw a 3D box on a graph using X, Y, and Z axes.
When we have the box drawn we can shade it in, so that it is a different colour from the rest of the 3D space on the graph. Let's say we shade the box blue and leave the rest of the space white.
Now, what is meant by 'located within a finite region of space' with regard to the box is, simply, somewhere on the part that is shaded blue. While 'not located within that finite region of space' would be somewhere on the part that is shaded white.
Is there anything there that is not clear?