Timeline for Can I use 'mean ± SD' for non-negative data when SD is higher than mean?
Current License: CC BY-SA 4.0
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| when toggle format | what | by | license | comment | |
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| May 10, 2023 at 14:01 | history | edited | Nick Cox | CC BY-SA 4.0 |
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| May 10, 2023 at 9:32 | comment | added | Roman | If nothing is known other than that the data must be positive, then the logarithm makes most sense of all transformations because the logarithmic prior is the Jeffreys prior. | |
| May 9, 2023 at 14:01 | comment | added | Silverfish | (+1) Mentioning log transforms is sensible, since the problem in this case is that the data sounds like it's very skewed and negative values are impossible. Logs might still be inappropriate if zero is a possible value, unfortunately. Log isn't the only viable transformation; there's a whole "ladder" of power or Box-Cox transformations, some of which will still work if 0 appears in the data. If you can't find an appropriate transform, it's also appropriate to summarise skewed data by median and quartiles/IQR/SIQR instead of (transformed) mean | |
| S May 9, 2023 at 13:24 | review | First answers | |||
| May 9, 2023 at 13:43 | |||||
| S May 9, 2023 at 13:24 | history | answered | user387579 | CC BY-SA 4.0 |