Timeline for Estimated vs. true expected value in $\chi^2$ test of independence of two categorical variables
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
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| Jan 10, 2022 at 7:17 | comment | added | Richard Hardy | @whuber, the answer you suggested is an interesting read but I do not quite see how it addresses my question. (Perhaps I need to re-read it to find out?) | |
| Jan 9, 2022 at 21:33 | answer | added | Sextus Empiricus | timeline score: 1 | |
| Jan 9, 2022 at 19:56 | comment | added | Sextus Empiricus | You have $2n$ observations but will consider a chi-squared distribution with $n-1$ degrees of freedom (if n>1). | |
| Jan 9, 2022 at 19:28 | comment | added | whuber♦ | If you would read my explanation of the chi-squared test and its theoretical basis at stats.stackexchange.com/a/17148/919, then this question would not arise. | |
| Jan 9, 2022 at 16:21 | comment | added | Richard Hardy | @SextusEmpiricus, could you spell that out in a bit more detail? | |
| Jan 9, 2022 at 16:17 | comment | added | Sextus Empiricus | Using a fit to determine $E_i$ does play a role in the degrees of freedom. | |
| Jan 9, 2022 at 14:34 | history | edited | Richard Hardy | CC BY-SA 4.0 |
deleted 4 characters in body
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| S Jan 9, 2022 at 13:01 | answer | added | Richard Hardy | timeline score: 0 | |
| S Jan 9, 2022 at 13:01 | history | asked | Richard Hardy | CC BY-SA 4.0 |