Timeline for How do I calculate the average coefficient of variation?
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 23, 2018 at 12:21 | vote | accept | Jelena | ||
| Nov 23, 2018 at 12:10 | comment | added | Jelena | Thank you for the tag, I'm reading it right now, interesting stuff... Happy to learn some more! | |
| Nov 23, 2018 at 11:11 | comment | added | Nick Cox | You need to think in terms of the right model for the data, not reducing puzzling descriptive statistics to yet more descriptive statistics. The problem could be almost anything, e.g. an outlier or outliers in one dataset not another; CV being an unsuitable reduction any way; a need to think on some quite different scale or using quite different summary statistics. | |
| Nov 23, 2018 at 11:07 | comment | added | Jelena | Thank you Nick for the answer. Yes, indeed, you are right about averaging CVs when they are not so different, as they are mostly in my case, is not a big advantage. I was merely trying to "do it the right way", but I cannot find any logic in my head that would appreciate more one way or the other. My SDs and means are mostly similar, on one or two occasions I have noticeable differences (I'm measuring set or analytes in my samples) - still clinically irrelevant. That's why I wanted to do it properly, statistically correct because I don't know of any reasons/limitations to either way. | |
| Nov 23, 2018 at 10:43 | history | edited | Nick Cox | CC BY-SA 4.0 |
added 3 characters in body
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| Nov 23, 2018 at 10:38 | history | answered | Nick Cox | CC BY-SA 4.0 |