Timeline for Why is the Central Limit applicable in A/B testing?
Current License: CC BY-SA 4.0
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| Mar 22, 2023 at 12:47 | comment | added | Nab | "You can consider a sample of size 𝑛 as 𝑛 samples of size 1." This is not clear to me. With a sample size of 1, the mean would be the observation itself, and the distribution of the sample means would approximate the distribution of the population as the number of sample increases. Online results seem to suggest that a minimum sample size of 30 is required for the CLT to hold. | |
| Mar 19, 2023 at 22:15 | history | edited | Sextus Empiricus | CC BY-SA 4.0 |
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| Mar 19, 2023 at 12:50 | history | edited | Sextus Empiricus | CC BY-SA 4.0 |
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| Mar 19, 2023 at 12:42 | history | answered | Sextus Empiricus | CC BY-SA 4.0 |