Timeline for Fisher's exact test in 3x2 contingency table
Current License: CC BY-SA 4.0
9 events
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| Mar 29, 2022 at 22:35 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
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| Aug 14, 2013 at 21:58 | comment | added | Nick Cox | @Frank Harrell +1. A rule of thumb that frequencies be >1 was cited by Harold Jeffreys, Theory of probability, 1939, pp.88-9, anticipating the modern consensus. Jeffreys did a lot of calculating as well as being a first-rate mathematician. | |
| Aug 14, 2013 at 21:53 | history | edited | Nick Cox | CC BY-SA 3.0 |
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| Aug 14, 2013 at 21:03 | comment | added | Frank Harrell | Pearson $\chi^2$ is now known to work well when expected cell frequencies exceed 1.0, not the 5.0 originally uttered by Pearson without checking. | |
| Aug 14, 2013 at 16:30 | comment | added | Ellis Valentiner | @FrankHarrell Pearson's $\chi^2$ test is not appropriate in this case, the cell counts are far too low. | |
| Aug 14, 2013 at 16:12 | comment | added | Frank Harrell | Make sure you really want to use this test as it is less powerful than the Pearson $\chi^2$ test. | |
| Aug 14, 2013 at 14:14 | comment | added | Ellis Valentiner | @Gabriele look at this in a table form, calculate proportions and see if that helps. | |
| Aug 14, 2013 at 14:05 | comment | added | Gabriele | Hi Ellis, thanks, you right there were 2 questions. Let's say i consider the difference significant, it means the null hypothesis is not true and the outcomes depend on the group, but then how can i say something more about the 3 forms a,b,c? They depend on the group ok, but in which way? How can I see for instance if the form b is statistically more reported in the group A? | |
| Aug 14, 2013 at 14:00 | history | answered | Ellis Valentiner | CC BY-SA 3.0 |