Timeline for Conceptual understanding of standard deviation vs average distance from the mean
Current License: CC BY-SA 3.0
7 events
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| Mar 18, 2015 at 13:56 | history | edited | Glen_b | CC BY-SA 3.0 |
removed signature, clarification
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| Mar 17, 2015 at 21:45 | comment | added | bask0 | Ok, whuber, I didn't knew this. But that's a special case, I think for a general understanding of the variance/standard deviation, we can ignore this. However, thanks for the hint. | |
| Mar 17, 2015 at 17:29 | comment | added | whuber♦ | "It is also wrong to..." could easily be misinterpreted. The separate contributions to the variance from negative and positive residuals are meaningful. They are used in financial risk assessment, for instance: see en.wikipedia.org/wiki/Downside_risk#Examples. | |
| Mar 17, 2015 at 17:19 | comment | added | bask0 | I just edited the post; It is important to understand that negative and positive deviations are not treated separately. Don't calculate the sd for the negative and positive values in a separate step, a large negative deviation and a large positive deviation both let increase the variance in the same manner. | |
| Mar 17, 2015 at 17:11 | history | edited | bask0 | CC BY-SA 3.0 |
added 362 characters in body
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| Mar 17, 2015 at 17:10 | comment | added | Jon | I see - so it is really just the difference between the sum of the squares vs. the square of the sums. I didn't think the difference would be that significant (20%) - just wasn't sure if something else was at play. | |
| Mar 17, 2015 at 16:56 | history | answered | bask0 | CC BY-SA 3.0 |