Timeline for What's the probability that this is true under the null hypothesis?
Current License: CC BY-SA 3.0
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| Mar 20, 2016 at 10:10 | history | edited | caveman | CC BY-SA 3.0 |
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| Mar 20, 2016 at 9:17 | history | edited | caveman | CC BY-SA 3.0 |
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| Mar 20, 2016 at 9:11 | history | edited | caveman | CC BY-SA 3.0 |
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| Mar 20, 2016 at 7:32 | history | edited | caveman | CC BY-SA 3.0 |
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| Mar 20, 2016 at 7:23 | history | edited | caveman | CC BY-SA 3.0 |
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| Mar 20, 2016 at 5:57 | comment | added | caveman | Added stuff for compliance with respect to self-study questions. | |
| Mar 20, 2016 at 5:51 | history | edited | caveman | CC BY-SA 3.0 |
added stuff to comply with regulations with respect to self-study business
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| Mar 19, 2016 at 16:35 | comment | added | EdM | Now that you are focused on the probability of the data rather than of the hypothesis, this is a standard problem in analysis of contingency tables. This seems to be a self-study type of question, so please read the information on this site about self-study, indicate what you've done so far and where you are stuck. Also, the present version of the question still has the fatal experimental design flaw noted in my answer. Even superb statistical analysis can't rescue faulty experimental design. | |
| Mar 19, 2016 at 16:28 | comment | added | caveman | Thank you. Updated question. Is it OK? | |
| Mar 19, 2016 at 16:25 | history | edited | caveman | CC BY-SA 3.0 |
fixed insanity in question
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| Mar 19, 2016 at 16:18 | comment | added | Aksakal | In statistical inference, you test your data under the hypothesis that null is true. The probabilities that you calculate (e.g. p-values) are not of whether the null is true. They're probabilities of consistency of the data with true null. | |
| Mar 19, 2016 at 16:00 | answer | added | EdM | timeline score: 2 | |
| Mar 19, 2016 at 13:45 | history | edited | caveman | CC BY-SA 3.0 |
fixed title
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| Mar 19, 2016 at 13:30 | history | asked | caveman | CC BY-SA 3.0 |