diff --git a/snippets/standard-deviation.md b/snippets/standard-deviation.md
index f07cb4f4c..e559972bb 100644
--- a/snippets/standard-deviation.md
+++ b/snippets/standard-deviation.md
@@ -1,17 +1,15 @@
 ### Standard deviation
 
-Use `Array.reduce()` to calculate the mean of the values, the variance of the values, and the sum of the variance
-of the values to determine the standard deviation of an array of numbers.
-
-Since there are two types of standard deviation, population and sample, you can use a flag to switch to population (sample is default).
+Use `Array.reduce()` to calculate the mean, variance and the sum of the variance of the values, the variance of the values, then
+determine the standard deviation.
+You can omit the second argument to get the sample standard deviation or set it to `true` to get the population standard deviation.
 
 ```js
 const standardDeviation = (arr, usePopulation = false) => {
   const mean = arr.reduce((acc, val) => acc + val, 0) / arr.length;
   return Math.sqrt(
     arr.reduce((acc, val) => acc.concat(Math.pow(val - mean, 2)), [])
-       .reduce((acc, val) => acc + val, 0) 
-    / (arr.length - (usePopulation ? 0 : 1))
+       .reduce((acc, val) => acc + val, 0) / (arr.length - (usePopulation ? 0 : 1))
   );
  }
 // standardDeviation([10,2,38,23,38,23,21]) -> 13.284434142114991 (sample)