Timeline for Chi-square test results interpretation
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 17 at 14:14 | comment | added | Dave | @crbl Then you’re not looking for hypothesis testing, which only highlights likely differences (loosely speaking), not important differences. Please refer to the link in my answer where I liken this to the Princess and the Pea fairy tale. | |
| Apr 17 at 12:58 | comment | added | crbl | I am referring to a test with less 'false positives' which will highlight only important differences between the two distributions, even for large samples. | |
| Apr 16 at 15:06 | comment | added | Dave | @crbl What do you mean by a "solution" to large samples? | |
| Apr 16 at 14:59 | comment | added | crbl | Indeed, I start to remember now. If I am not wrong it I couldn't find neither in the past a feasible solution to large samples | |
| Apr 16 at 14:48 | history | answered | Dave | CC BY-SA 4.0 |