Timeline for Interpretability for chi-squared test?
Current License: CC BY-SA 4.0
12 events
| when toggle format | what | by | license | comment | |
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| Jul 9 at 9:18 | answer | added | NewAtGis | timeline score: 0 | |
| Dec 6, 2022 at 3:01 | history | tweeted | twitter.com/StackStats/status/1599962161417158656 | ||
| S Dec 5, 2022 at 10:01 | history | suggested | Shawn Hemelstrand | CC BY-SA 4.0 |
formatting and grammar
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| Dec 5, 2022 at 8:22 | history | became hot network question | |||
| Dec 5, 2022 at 4:40 | vote | accept | Antonio | ||
| Dec 5, 2022 at 1:24 | review | Suggested edits | |||
| S Dec 5, 2022 at 10:01 | |||||
| Dec 5, 2022 at 1:22 | answer | added | Shawn Hemelstrand | timeline score: 10 | |
| Dec 5, 2022 at 0:56 | comment | added | Henry | OK - so with that edit, part of my comment would switch too | |
| Dec 5, 2022 at 0:53 | comment | added | Antonio | @Henry meant to switch the sex inputs around... | |
| Dec 5, 2022 at 0:53 | history | edited | Antonio | CC BY-SA 4.0 |
deleted 1 character in body
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| Dec 5, 2022 at 0:45 | comment | added | Henry | What it tells it that in the sample you selected, the probability of seeing the result you saw or one as or more extreme would have been unlikely if males and females were equally likely to have diabetes present. We do not know how you selected the sample (e.g. why are there more females than males in total?), and so whether this is suggestive about others going in to the hospital. Nor do we know whether the difference between male and female proportions is helpful in taking decisions, as we do not know what decisions you might make. | |
| Dec 5, 2022 at 0:22 | history | asked | Antonio | CC BY-SA 4.0 |