From ecf1987192ed7219422f8f07c51186ed8ab5585a Mon Sep 17 00:00:00 2001 From: zleyyij Date: Thu, 25 Jan 2024 14:15:30 -0700 Subject: [PATCH] vault backup: 2024-01-25 14:15:30 --- education/statistics/Sampling.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/education/statistics/Sampling.md b/education/statistics/Sampling.md index f06ee5d..6f872a6 100644 --- a/education/statistics/Sampling.md +++ b/education/statistics/Sampling.md @@ -59,7 +59,10 @@ As with $SE_\%$, as the sample size increase, the standard error decreases. The central limit theorem still applies here, so the probability histogram for the average of the draws *follows the normal curve* with a large number of draws, even if the contents of the box do not. +To calculate the $SE_{ave}$, use the below equation: +$$ \frac{SD_{box}}{\sqrt{num_{draws}}} $$ + | Term | Definition | | ---- | ---- | -| $EV_{ave}$ | The expected value for the average | +| $EV_{ave}$ | The expected value for the average of the population | | $SE_{ave}$ | The standard error |