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education/statistics/Sampling.md
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@ -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. 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 | | 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 | | $SE_{ave}$ | The standard error |