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Suppose I have two algorithms that produce numerical data.

The first algorithm produces { 2452, 695, 318, ... } with a mean of 1155 and a standard deviation of 1138.

The second algorithm produces { 35036, 29720, 31744, ...} with a mean of 32170 and a standard deviation of 2683.

I would like to formally describe the two results in terms of how 'dense' the output is about the mean. The first algorithm produces a lower standard deviation of 1138, but intuitively, this value is close to the mean of 1155, so my gut is that the distribution is very wide. On the other hand, the second algorithm produces a larger standard deviation of 2683, but this value is small compared to the mean of 32170.

What is the correct formal description of this 'denseness' of standard deviation around the mean? What can I formally say when comparing algorithm 1 and 2?

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    $\begingroup$ You can say that the second algorithm has a lower coefficient of variation. $\endgroup$
    – user856
    Aug 19, 2013 at 22:08
  • $\begingroup$ For positive-valued data, the ratio "standard deviation divided by the mean" is called the coefficient of variation. Note that this notion should not be used for random variables taking on both positive and negative values since these may have mean close to $0$ (or even exactly $0$) so that the coefficient of variation might work out to be huge. $\endgroup$ Aug 19, 2013 at 22:10
  • $\begingroup$ For a short discussion, see this. $\endgroup$ Aug 19, 2013 at 22:16

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