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Standard Deviation using the Sumation of X and Summation of X-Squared?

If you had a set of X values and a set of Y values, how do you get the standard deviation of the difference?

Give the n=16, the summation of the differences = 108, and the summation of the differences squared is 1746, the mean of the differences is 6.75. How would you get the standard deviation (it should come out to 8.234)?

 I tried 1746-6.75^2/16 and that didn't come out quite right. Then I started playing around by squaring and dividing stuff. I know I somehow need to get to about 68, so that when I do the square root, I get back 8.234. I would need 1020 if I divide by n-1 (15) or 1088 if I divide by 16. Can't seem to get it, though, and everything I looked up assumes you have the list of numbers and can do the whole (summation of (difference - average difference)^2)/N.
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JR2003

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JR2003

The answer can be got from :

Sqrt((1746 -(108^2/16))/15)

This is from the formula on the page http://en.wikipedia.org/wiki/Standard_deviation for obtaining sample standard deviation.


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