Timeline for Hypothesis testing: Use t-test when sample size is small or variance is unknown, but not both
Current License: CC BY-SA 4.0
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| Aug 26, 2022 at 18:22 | history | edited | user2153235 | CC BY-SA 4.0 |
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| Aug 7, 2022 at 16:44 | comment | added | user2153235 | That's the way I interpret it. I just wasn't sure because so many examples online don't highlight this caveat. They just dive into the mechanics of hypothesis testing. Thanks for confirming | |
| Aug 7, 2022 at 12:44 | answer | added | Frank Harrell | timeline score: 1 | |
| Aug 7, 2022 at 4:47 | comment | added | frank | As Wikipedia says, the t-test requires the distribution of the sample means to be normal. But that is the case for sure if the random variable itself is normal. If it is not, the distribution of the means is often approximately normal for larger sample sizes as the CLT states. Thus, it is an exclusive or (presuming the conditions for the CLT hold). | |
| Aug 7, 2022 at 2:21 | history | edited | user2153235 | CC BY-SA 4.0 |
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| Aug 7, 2022 at 2:15 | history | asked | user2153235 | CC BY-SA 4.0 |