Timeline for Setting limits for process control of low probability error
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 15, 2020 at 14:09 | vote | accept | Antti Stålnacke | ||
| Oct 15, 2020 at 14:09 | answer | added | Antti Stålnacke | timeline score: 1 | |
| Oct 13, 2020 at 12:52 | comment | added | Antti Stålnacke | Thank you! I guess one way to phrase my question, if I understand it correctly, is that I want to reject the null-hypothesis "> 0.05% of the population weighs < x grams" with a power of 0.9. But I'm still stumped when it comes to selecting the criteria to test against y, the allowed number of samples with a weight < y and the sample size. I guess one way to look at it is that I want to maximize my efficiency by selecting an appropirate y. | |
| Oct 13, 2020 at 12:28 | comment | added | Fato39 | Hi Antti, welcome. This is a well written question. Have you looked into statistical power calculations? en.wikipedia.org/wiki/Power_of_a_test | |
| Oct 13, 2020 at 12:12 | review | First posts | |||
| Oct 13, 2020 at 12:28 | |||||
| Oct 13, 2020 at 12:10 | history | asked | Antti Stålnacke | CC BY-SA 4.0 |