Timeline for Teaching the difference between standard deviation and interquartile range
Current License: CC BY-SA 3.0
12 events
| when toggle format | what | by | license | comment | |
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| Jun 7 at 2:58 | answer | added | Guest troll | timeline score: 1 | |
| Jun 5 at 7:38 | answer | added | Tommi | timeline score: 0 | |
| Jun 5 at 5:43 | history | edited | Tommi |
edited tags
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| Jun 5 at 1:23 | comment | added | Steven Gubkin | It is also cool that the mean is the closest such point on the line spanned by the vector of ones. This is important for a geometric understanding of linear regression. | |
| Jun 4 at 21:56 | answer | added | Steven Dorsher | timeline score: 0 | |
| Jul 31, 2014 at 0:23 | answer | added | Glen_b | timeline score: 1 | |
| Jul 7, 2014 at 0:53 | answer | added | user173 | timeline score: 4 | |
| Jul 6, 2014 at 17:46 | answer | added | Matt Brenneman | timeline score: 9 | |
| S Jul 6, 2014 at 6:20 | history | suggested | Dag Oskar Madsen |
added *examples* tag
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| Jul 6, 2014 at 5:44 | comment | added | DavidButlerUofA | No particular examples to give you, however a comment about SD: There are two good reasons to use standard deviation. One of them is that it matches the vision of stats as geometry: the distance between a point $(x_1, \dots, x_n)$ and the one where they're all the mean $(\bar{x}, \dots, \bar{x})$ is close to the standard deviation. The other is that there is a well-known distribution describing the possible standard deviations in a sample of size $n$, so probability calculations work better. | |
| Jul 6, 2014 at 0:26 | review | Suggested edits | |||
| S Jul 6, 2014 at 6:20 | |||||
| Jul 5, 2014 at 23:18 | history | asked | Julia | CC BY-SA 3.0 |