Timeline for Which statistical test is correct to compare two groups of very different sizes?
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 7, 2021 at 13:20 | vote | accept | Thomas | ||
| Jan 7, 2021 at 13:19 | comment | added | Dave | What do you mean by the “relative importance is not needed”? // The question about non-normal data would make for an good separate question (remember that Cross Validated is Q&A, not a discussion forum), though you’ll find answers if you search a bit on here. | |
| Jan 7, 2021 at 13:05 | vote | accept | Thomas | ||
| Jan 7, 2021 at 13:07 | |||||
| Jan 7, 2021 at 13:05 | comment | added | Thomas | Okay, that is good to know. I will resolve to a t-test, thanks. No no, I also need to perform a similar test for elevation, however, the relative importance/contribution is not needed. What test would you suggest if data is not normally distributed? | |
| Jan 7, 2021 at 12:46 | comment | added | Dave | If you just need to check tree fraction, why are you checking both variables? \\ $30=\infty$ is a common statistics joke about the central limit theorem. Since you’re working with samples you believe to come from normal populations, you do not have to appeal to convergence of the $z$ or $t$ test statistics. | |
| Jan 7, 2021 at 12:41 | comment | added | Thomas | And, I thought as a rule of thumb that the t-test was for sample sizes of < 30, or am I wrong here? | |
| Jan 7, 2021 at 12:37 | comment | added | Thomas | Thanks for the elaborating answer @Dave. I do not need to detect the contribution of individual variables, but rather check whether tree fraction is different between Group 1 and Group 2. Is it therefore stil valid to 'just' use the z-test? | |
| Jan 7, 2021 at 12:19 | history | answered | Dave | CC BY-SA 4.0 |