Timeline for How and when to perform a two sample t-test or a two sample z-test?
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 11, 2019 at 0:36 | comment | added | EdM | This sounds like it might be better handled by survival analysis, perhaps discrete-time given the small number of distinct event (graduation) times. Dropping out could be considered a competing event, handling the important point made by @AdamO in another comment. Normality would no longer be an issue either. | |
| Oct 10, 2019 at 22:23 | answer | added | BruceET | timeline score: 1 | |
| Oct 10, 2019 at 22:15 | comment | added | Sal Mangiafico | I'll repeat my comment from the duplicated question: if your dependent variable, years, takes on few and discrete values, you might need to use a test more appropriate for ordinal data. I can imagine this data might be quite skewed, and of course bound by 1 on the left. | |
| Oct 10, 2019 at 22:07 | answer | added | G. Vece | timeline score: 3 | |
| Oct 10, 2019 at 22:01 | comment | added | AdamO | What happens when a student drops out? | |
| Oct 10, 2019 at 21:39 | history | asked | John | CC BY-SA 4.0 |