Timeline for How to perform a bootstrap test to compare the means of two samples?
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| S Mar 26, 2019 at 9:41 | history | suggested | dfrankow | CC BY-SA 4.0 |
Added Wikipedia link
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| Mar 25, 2019 at 20:45 | review | Suggested edits | |||
| S Mar 26, 2019 at 9:41 | |||||
| Jan 28, 2016 at 14:06 | vote | accept | CatsLoveJazz | ||
| Apr 4, 2014 at 15:38 | comment | added | CatsLoveJazz | Ok thanks, it is the mean we want to test as all our other output has been in this form. | |
| Apr 4, 2014 at 15:35 | comment | added | Maarten Buis | Techically, for the bootstrap test you just need a test-statistic so that is not a problem. Substantively, a t-test compares means and in skewed data medians are often more meaningful than means. So a test comparing medians instead of means may make more sense. However, that depends on your null-hypothesis, which is your choice and your choice alone. | |
| Apr 4, 2014 at 15:25 | comment | added | CatsLoveJazz | This is essentially what Im doing but looking at the proportion of times the original/observed t-statistic is >= bootsrapped t-statistic. Is it ok to do a t-test on heavily skewed data in the first instance though, this is one of the reasons why I want to boostrap. | |
| Apr 4, 2014 at 15:08 | history | answered | Maarten Buis | CC BY-SA 3.0 |