diff --git a/education/statistics/Hypothesis Tests.md b/education/statistics/Hypothesis Tests.md
index 5298159..6c8f59d 100644
--- a/education/statistics/Hypothesis Tests.md	
+++ b/education/statistics/Hypothesis Tests.md	
@@ -14,8 +14,7 @@ If an observed value is too many SEs away from the expected value, it is hard to
 | One-tailed test | Use when the alternative hypothesis says that the % of 1s is *less than* or *greater than* expected. It's one sided, because the area of importance on a distribution only has one side, and extends all the way outwards, away from the normal curve. |
 | Two tailed test | Use when something is *not equal* to the expected. It's called a two tailed test because the area of significance has two sides |
 ## z tests for averages
-This test will look very similar to a z test for percentages
- You 
+This test will look very similar to a z test for percentages, it still requires that a large, random, sample was given.
 ## P Value
 The chance of observing at least a sample statistic, or something more extreme, if the null hypothesis is true.
 If the p-value is less than *5*%, reject the null hypothesis.