vault backup: 2024-01-25 14:15:30
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@ -59,7 +59,10 @@ As with $SE_\%$, as the sample size increase, the standard error decreases.
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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.
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To calculate the $SE_{ave}$, use the below equation:
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$$ \frac{SD_{box}}{\sqrt{num_{draws}}} $$
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| Term | Definition |
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| ---- | ---- |
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| $EV_{ave}$ | The expected value for the average |
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| $EV_{ave}$ | The expected value for the average of the population |
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| $SE_{ave}$ | The standard error |
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