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Oct 2, 2014 at 13:16 vote accept Changwang Zhang
Apr 20, 2012 at 5:37 comment added Gerry Myerson @Barry, right you are, of course.
Apr 19, 2012 at 23:37 comment added Barry Cipra @Gerry, I think you mean $\langle x \rangle$, not $n\langle x \rangle$, too (see my comment to Aaron Meyerowitz's answer). I'm not sure why the OP bothers putting what amounts to an $n\langle k \rangle$ in the denominator of what he wants to express in terms of $\langle k \rangle$ etc.
Apr 19, 2012 at 6:11 answer added Aaron Meyerowitz timeline score: 2
Apr 18, 2012 at 23:39 comment added Gerry Myerson $n\langle x\rangle$ is a (trivial) upper bound, and is attained when the $x_i$ are all equal, regardless of the distribution of the $k_i$.
Apr 18, 2012 at 19:18 comment added Gerhard Paseman Approximate, yes. Meaningful? Unlikely. Take a long bar and divide it into n varying commensurable lengths, one length for each k_i. The average of the square values gives some information, I saynot enough: take the average of the x's to be 1/2, then color the 1/2 shortest segments one color, and the remaining longest segments another. That represents your variability when you know the average x value. The square average may weakly measure that variability, but it does not say where the desired value (sum of colored lengths) lives. Gerhard "Ask Me About System Design" Paseman, 2012.04.18
Apr 18, 2012 at 18:51 history asked Changwang Zhang CC BY-SA 3.0