Timeline for How to add up partial confidence intervals to create a total confidence interval?
Current License: CC BY-SA 3.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 30, 2022 at 13:05 | answer | added | Jigidi Sarnath | timeline score: 0 | |
| Aug 9, 2016 at 13:30 | history | edited | Williamstat | CC BY-SA 3.0 |
deleted 51 characters in body
|
| Jul 22, 2016 at 13:55 | comment | added | whuber♦ | Thank you for the clarification. Since now it's likely the data are (highly) correlated--a good athlete typically has lower times and a poorer athlete has higher times--then the root-sum-of-squares method is sure to overstate the CI. | |
| Jul 22, 2016 at 12:50 | vote | accept | Williamstat | ||
| Jul 22, 2016 at 12:25 | comment | added | Williamstat | @whuber Thank you for your comment, I have changed the question so it considers a population instead. Unfortunately i don't know how the CI were calculated. | |
| Jul 22, 2016 at 12:24 | history | edited | Williamstat | CC BY-SA 3.0 |
added 7 characters in body
|
| Jul 20, 2016 at 16:03 | comment | added | whuber♦ | Are these really confidence intervals? The concept does not usually apply to the results of a single individual: it pertains to estimates of a population. What, then, do these intervals actually mean and how have you computed them? This is a crucial point because it's likely the intervals are based on correlated data, which requires a different method of combination than if they were independent intervals. | |
| Jul 20, 2016 at 15:47 | answer | added | Pere | timeline score: 11 | |
| Jul 15, 2016 at 13:31 | review | First posts | |||
| Jul 15, 2016 at 13:34 | |||||
| Jul 15, 2016 at 13:28 | history | asked | Williamstat | CC BY-SA 3.0 |