Timeline for Paired t-test results
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| Dec 10, 2020 at 10:06 | comment | added | Christian Hennig | PS: What this correctly explores is the variation of the difference of means, not it's mean under $H_0$. | |
| Dec 10, 2020 at 10:02 | comment | added | Christian Hennig | With the given small sample size there's no way to tell whether the 102 is from a different population than the zero; as the test result itself this could just be explained by large variance. The problem with this response (and the 4.5% in particular) as far as I see it is that for a bootstrap test you'd need to re-center the distribution around what's expected under the $H_0$ - obviously if the sample has more and bigger positive than negative differences, the bootstrap distribution will be on the positive side, but that's because the sample does not represent the $H_0$ well. | |
| Dec 10, 2020 at 2:02 | history | edited | user271536 | CC BY-SA 4.0 |
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| Dec 10, 2020 at 1:50 | history | edited | user271536 | CC BY-SA 4.0 |
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| Dec 10, 2020 at 1:42 | history | answered | user271536 | CC BY-SA 4.0 |