Timeline for NOT rejecting the null hypothesis when it is TRUE.
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 8, 2016 at 19:29 | answer | added | Michael Lew | timeline score: 1 | |
| Dec 7, 2016 at 13:20 | comment | added | Glen_b | @Michael I think your comment would make a suitable answer. | |
| Dec 7, 2016 at 2:43 | comment | added | Michael Lew | If there is a 5% probability of falsely rejecting a true null hypothesis then there is a 95% probability of correctly failing to reject it. (Power doesn't really mean anything in the context where the null hypothesis is true, just as the false positive error rate is not relevant when the null is false.) Note that there are more ways to make false inferences than just false positive and false negative errors. Look up type M and type S errors, for example. | |
| Dec 7, 2016 at 2:12 | history | asked | user119563 | CC BY-SA 3.0 |