Timeline for Comparing means of two samples, one with 2million+ samples, other with only 200
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 11, 2015 at 12:17 | comment | added | zukkmet | It is mainly due to articles like these: blog.minitab.com/blog/statistics-and-quality-data-analysis/… where they emphasize the t-test giving huge significance to even the smallest of differences when the sample is too big. Also, I am not sure if such uneven sample size poses a problem as well. | |
| Aug 10, 2015 at 14:24 | comment | added | whuber♦ | The way this question is phrased and the tags you have applied suggest there is something special about the numbers 2 million and 200 in the context of a t-test for you. What would it be? In what way are you supposing this question differs from one where the numbers might instead be, say, 10 and 20? | |
| Aug 10, 2015 at 12:41 | review | First posts | |||
| Aug 10, 2015 at 12:42 | |||||
| Aug 10, 2015 at 12:39 | history | asked | zukkmet | CC BY-SA 3.0 |