Timeline for Detect dramatic increase in proportion among multiple classes
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 8, 2022 at 13:01 | answer | added | EngrStudent | timeline score: 1 | |
| Apr 8, 2022 at 11:41 | comment | added | EngrStudent | @kjetilbhalvorsen - that nist handbook is golden. @ Devin, I'm a different breed of nerd, so standard disclaimers apply. I would look at confidence interval for a sample proportion when thinking about it, you need a sample size large enough to say the CI for the sample is less aligned with what would be expected when drawn from the same population. Personally, I would use bootstrap simulation to get a bottom-up sense of what the values should be, or should not be, assuming you had sufficient population sizes. | |
| Apr 8, 2022 at 11:19 | comment | added | kjetil b halvorsen♦ | Control charts for proportions: itl.nist.gov/div898/handbook/pmc/section3/pmc332.htm | |
| Apr 8, 2022 at 11:17 | history | edited | kjetil b halvorsen♦ |
edited tags
|
|
| Apr 8, 2022 at 7:09 | answer | added | frank | timeline score: 1 | |
| Apr 2, 2022 at 12:38 | answer | added | Jon Nordby | timeline score: 1 | |
| Mar 26, 2022 at 18:04 | comment | added | num_39 | It would be hard to answer this without knowing a little more about your problem but maybe you just need a control chart? rss.onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2004.024.x | |
| S Mar 26, 2022 at 3:18 | review | First questions | |||
| Mar 26, 2022 at 13:54 | |||||
| S Mar 26, 2022 at 3:18 | history | asked | Devin | CC BY-SA 4.0 |