So the coefficient of variance or CV came up quite a bit at work recently and so I decided to talk about that.  Why? Because I can!  Because it’s my blog!  And because it’s another short and sweet topic that we can cover before you go on with your holiday shopping ** cough, cough ** Order of The Dimensions ** cough, cough ** perfect gift for any holiday lover ** cough, cough **.  And what it is is a measure of the variation relative to the mean.  So ideally, we for the CV to be lower but a low standard deviation and a low mean could give a similar CV  as a high standard deviation and a high mean so really we want a low standard deviation and a high mean.  Got all that?  Good, I hope.  But just to be sure I’m doing another Randy-Anton example.  So say Randy’s looking at three dimensions, one where he has a high probability of catching Anton among a lot of places but those places are so far apart, one where he has a low probability of catching Anton among a lot of places but those places are close together, and  one where he has a high probability of catching Anton among a lot of places and those places are close together.  So where would he look first?  There you go — the third one as that would be his “low CV” as you will.  But does he find such a dimension?  Well, maybe you and the scifi lover on your holiday list then … yeah 😉

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