diff --git a/education/statistics/Central Limit Theorem.md b/education/statistics/Central Limit Theorem.md
index cc7e412..0939fc2 100644
--- a/education/statistics/Central Limit Theorem.md	
+++ b/education/statistics/Central Limit Theorem.md	
@@ -5,4 +5,8 @@ the draws looks like the normal curve, even if the tickets in
 the box are not normally distributed, as long as the draws
 are sufficiently large.
 
-Probability histograp
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+Probability histograms represent *chance*. Each class interval represents the probability an event would occur. As the number of repetitions increases, the closer the graphed data will appear to the calculated probability histogram. 
+
+The probability curve for the *sum of draws* will approximately follow the normal curve if the number of draws is large enough, even if the tickets in the box *do not *follow the normal curve. 
+
+When applying statistics to sums, it's usually in the form of *how much do we think the sum will add up to*, then compared against how much
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