Timeline for Why do statisticians say a non-significant result means "you can't reject the null" as opposed to accepting the null hypothesis?
Current License: CC BY-SA 3.0
2 events
when toggle format | what | by | license | comment | |
---|---|---|---|---|---|
Feb 10, 2014 at 15:21 | comment | added | Thomas Speidel | I like the "Not guilty" example. Going one step further, re-opening cases based on DNA evidence that we did not know how to use in the past and having some convictions overturned is a perfect example of how adding more data may be all that's needed to have enough evidence. | |
Feb 8, 2014 at 21:51 | history | answered | Greg Snow | CC BY-SA 3.0 |