Timeline for Likelihood ratio test for sex ratio
Current License: CC BY-SA 3.0
5 events
when toggle format | what | by | license | comment | |
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Dec 11, 2012 at 13:36 | comment | added | gianluca | ah ok, i understand now! for the second part, I Was thinking of considering p_1 - p_2 as the parameter and to test the null of it being zero against the alternative of it being free, do you think this is the right track? | |
Dec 11, 2012 at 13:35 | vote | accept | gianluca | ||
Dec 11, 2012 at 13:22 | comment | added | Scortchi♦ | Well, in a large sample you can detect very small differences from the null hypothesis. That doesn't mean they're necessarily of any practical significance; or even that they're real, given that there will also be unknown systematic errors. | |
Dec 11, 2012 at 13:13 | comment | added | gianluca | yeah I've been stupid thank you! i calculated the value and i got 8.3, hence I should reject the null hypothesis... it is strange as the data were pretty close isn't it? also my concern was about [0,1] not being a vector space! | |
Dec 11, 2012 at 12:56 | history | answered | Scortchi♦ | CC BY-SA 3.0 |