Timeline for Single statistics resuming the variance of a two-dimensional discrete matrix
Current License: CC BY-SA 3.0
11 events
| when toggle format | what | by | license | comment | |
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| Apr 12, 2017 at 9:43 | vote | accept | Dario Lacan | ||
| Apr 3, 2017 at 18:12 | comment | added | Aksakal | Is the total of all numbers meaningful? Or do you only care for uniformness of the matrix? | |
| Apr 3, 2017 at 16:36 | answer | added | gung - Reinstate Monica | timeline score: 2 | |
| Apr 3, 2017 at 16:25 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
added tags; reformatted code; edited for English
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| Apr 3, 2017 at 16:22 | comment | added | gung - Reinstate Monica | With the matrices posted, I think this is clear enough to be answered. I'm voting to leave open. | |
| Apr 3, 2017 at 10:36 | comment | added | Dario Lacan | Thanks mdewey for your answer: no reason at all, I simply do not know which measure to choose and how to procede. My question was a genuine one. Could you please elaborate further? Would Chi2 provide a single statistics for the entire matrix, or for each cell? | |
| Apr 3, 2017 at 10:17 | comment | added | mdewey | My inclination would be to use $\chi^2$ with m1 as expected and m2 as observed. Is there any reason why you rejected that idea? | |
| Apr 3, 2017 at 8:21 | history | edited | Dario Lacan | CC BY-SA 3.0 |
Improved explanation
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| Apr 3, 2017 at 8:15 | history | edited | Dario Lacan | CC BY-SA 3.0 |
Added example as asked in the comments.
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| Apr 1, 2017 at 13:47 | review | Close votes | |||
| Apr 3, 2017 at 16:25 | |||||
| Apr 1, 2017 at 13:19 | history | asked | Dario Lacan | CC BY-SA 3.0 |