Timeline for Calculate number of "exceptions" to correlation
Current License: CC BY-SA 3.0
12 events
| when toggle format | what | by | license | comment | |
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| Jan 15, 2020 at 5:03 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Oct 7, 2018 at 15:00 | answer | added | kjetil b halvorsen♦ | timeline score: 1 | |
| Oct 7, 2018 at 15:00 | history | edited | kjetil b halvorsen♦ |
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| Jul 31, 2017 at 14:28 | comment | added | kjetil b halvorsen♦ | See also stats.stackexchange.com/questions/181057/… | |
| Dec 5, 2016 at 20:57 | comment | added | Pearson's Are | Would it be too much to ask for the standard deviation of the expected value? | |
| Dec 5, 2016 at 20:53 | comment | added | whuber♦ | @Kodiologist It's not a duplicate because this particular issue is not addressed in the other post, nor is the formula explicitly given. | |
| Dec 5, 2016 at 20:52 | comment | added | Kodiologist | @whuber Seems like you should either post that comment as an answer or close this question as a duplicate. | |
| Dec 5, 2016 at 20:39 | comment | added | Pearson's Are | I didn't expect that the answer would be so beautifully simple! Can be implemented in a spreadsheet in minutes to create a table. And a great supplement to use of the simulator for purposes of illustration. | |
| Dec 5, 2016 at 20:04 | comment | added | whuber♦ | The geometric analysis in my post at stats.stackexchange.com/a/71303/919 can be used to show the expected proportion of exceptions when the data are bivariate Normal (which is what this calculator assumes) is $\arccos(\rho)/\pi$. | |
| Dec 5, 2016 at 20:01 | history | edited | whuber♦ | CC BY-SA 3.0 |
added 115 characters in body
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| Dec 5, 2016 at 19:58 | review | First posts | |||
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| Dec 5, 2016 at 19:53 | history | asked | Pearson's Are | CC BY-SA 3.0 |