Timeline for confidence interval for sample that is not normal distributed
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Mar 2, 2021 at 16:59 | vote | accept | cs0815 | ||
| Jan 6, 2021 at 16:32 | history | edited | cs0815 | CC BY-SA 4.0 |
added 103 characters in body
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| Jan 6, 2021 at 16:16 | comment | added | cs0815 | well I think this is exactly what I struggle with. The confidence interval's width depends on the sample size and I do not know the population standard deviation. I think the t distribution is used because I cannot assume normality and I have a smallish sample size. I can only use the standard normal distribution when I know the population standard deviation AFIK. | |
| Jan 6, 2021 at 16:03 | answer | added | R Carnell | timeline score: 1 | |
| Jan 6, 2021 at 15:41 | comment | added | Dave | Do you understand why the confidence interval procedure works for data you know to be normally distributed, even though you only have one sample? | |
| Jan 6, 2021 at 15:04 | history | asked | cs0815 | CC BY-SA 4.0 |