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  |