Timeline for Equivalent of "rule of three" for 99% confidence? [duplicate]
Current License: CC BY-SA 4.0
13 events
| when toggle format | what | by | license | comment | |
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| Jan 2 at 17:10 | comment | added | whuber♦ | Glen_b's answer at stats.stackexchange.com/a/319653/919 looks straightforward and simple to me: the general formula is clearly stated in the second line and simplified to $-\log(\alpha)/n$ in the fourth line. | |
| Jan 2 at 16:54 | comment | added | emaxx | "Rule of −log(α)" is beautiful, thanks! Would be useful if promoted to an answer because all of these other questions just hide this under a ton of formulas and other considerations. | |
| Jan 2 at 16:45 | comment | added | whuber♦ | You might find it more useful to refer to this as the "Rule of $-log(\alpha).$" For 95% confidence, alpha = 5% while for 99% confidence alpha = 1%. It is a short step from that to remembering the underlying principle, as discussed in any of the derivations, which is simply the definition of a confidence limit. | |
| Jan 2 at 16:19 | comment | added | emaxx | The links give an overwhelming number of different formulas, but for posterity stats.stackexchange.com/a/34102/455846 says the answer is the "rule of 4.6". | |
| Jan 2 at 16:09 | history | duplicates list edited | whuber♦ | duplicates list edited from Sample size when one hypothesis is overwhelming to Sample size when one hypothesis is overwhelming, Using Rule of Three to obtain confidence interval for a binomial population, Is this a valid way to construct a confidence interval?, Revisiting the Rule of Three | |
| Jan 2 at 16:08 | history | closed | Harvey Motulsky User1865345 whuber♦ | Duplicate of Sample size when one hypothesis is overwhelming | |
| Jan 2 at 16:08 | comment | added | whuber♦ | Search for "Rule of Three" log. | |
| Jan 2 at 15:58 | comment | added | emaxx | I've added the detail that the given event didn't happen in the given sample. Thanks. | |
| Jan 2 at 15:57 | history | edited | emaxx | CC BY-SA 4.0 | deleted 2 characters in body |
| Jan 2 at 15:56 | history | edited | emaxx | CC BY-SA 4.0 | added 47 characters in body |
| Jan 2 at 15:55 | comment | added | Harvey Motulsky | The rule of three is for a situation where the outcome is an event that happens or not (not measured variable) and the event did not occur in the n observations. If you are asking for the corresponding value for 99% CI, please add those details to your question. | |
| S Jan 2 at 15:38 | review | First questions | |||
| Jan 2 at 16:11 | |||||
| S Jan 2 at 15:38 | history | asked | emaxx | CC BY-SA 4.0 |