diff --git a/education/statistics/Sampling.md b/education/statistics/Sampling.md
index 540c598..365811d 100644
--- a/education/statistics/Sampling.md
+++ b/education/statistics/Sampling.md
@@ -73,7 +73,7 @@ Remember that the *parameter* is the *number* that actually describes the popula
 For any unknown average, the probability histogram of the sample averages will be shaped like the normal curve and centered at the true average with a standard deviation equal to $SE_{ave}$. 
 
 $$ sample_{ave} \pm 2 * SE_{ave} $$
-If solving for a specific interval, substitute $2$ for your $z$ value.
+If solving for a specific interval, substitute $2$ for your $z$ value. As $z$ increases or the sample size decrease, this interval gets wider.
 This equation should be a review:
 $$ SE_{ave} = \frac{SD}{\sqrt{size\space samp}} $$
 The above equation will give you an interval that you can be 95% confident that the true random will be within that point.
@@ -86,4 +86,4 @@ If we're using two standard deviations, the below statement can be used:
 "We can be 95% confident that the interval \[we have constructed] contains the true average \[thing being measured]."
 
 ## Margin of Error
-The margin of error is $sample_{ave} \pm z* SE_{ave}$. As we increase the confide
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+The margin of error is $sample_{ave} \pm z* SE_{ave}$. 
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