diff --git a/education/statistics/Sampling.md b/education/statistics/Sampling.md
index 7de8bc9..e38857f 100644
--- a/education/statistics/Sampling.md
+++ b/education/statistics/Sampling.md
@@ -34,6 +34,8 @@ An ideal sample will represent the whole population.
 | Response | When the question is worded in a leading way to elicit a certain response. |
 | Volunteer response | Self selecting, individuals volunteer to answer |
 | Measurement | Interviewing method influences the response, uses loaded words or ambiguities. |
+
+## Percentages
 (Ch 20, stat 1040)
 
 The expected value for a sample percentage equals the population percentage. The standard error for that percentage = `(SE_sum/sample_size) * 100%`
@@ -43,4 +45,4 @@ To determine by how much the standard error is affected, if `n` is the sample si
 Accuracy in statistics refers to how small the standard error is. A smaller standard error means your data is more accurate.
 
 You can use the below equation to find the percentage standard error of a box model that has ones and zeros. the % of ones and zeros should be represented as a proportion (EG: `60% = 0.6`).
-$$ \sqrt{\frac{(\% of 1)(\% of 0)}{num_{draws}}} $$
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+$$ \sqrt{\frac{(\%\space of\space 1s)(\%\space of\space 0s)}{num_{draws}}} $$(Ch 21, stat 1040)
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