diff --git a/src/gleam_community/maths/arithmetics.gleam b/src/gleam_community/maths/arithmetics.gleam
index 6f9644c..6757c4b 100644
--- a/src/gleam_community/maths/arithmetics.gleam
+++ b/src/gleam_community/maths/arithmetics.gleam
@@ -86,7 +86,7 @@ pub fn gcd(x: Int, y: Int) -> Int {
   do_gcd(absx, absy)
 }
 
-pub fn do_gcd(x: Int, y: Int) -> Int {
+fn do_gcd(x: Int, y: Int) -> Int {
   case x == 0 {
     True -> y
     False -> {
@@ -171,7 +171,7 @@ pub fn divisors(n: Int) -> List(Int) {
   find_divisors(n)
 }
 
-pub fn find_divisors(n: Int) -> List(Int) {
+fn find_divisors(n: Int) -> List(Int) {
   let nabs: Float = piecewise.float_absolute_value(conversion.int_to_float(n))
   let assert Ok(sqrt_result) = elementary.square_root(nabs)
   let max: Int = conversion.float_to_int(sqrt_result) + 1
diff --git a/src/gleam_community/maths/metrics.gleam b/src/gleam_community/maths/metrics.gleam
index a508748..1dab2b4 100644
--- a/src/gleam_community/maths/metrics.gleam
+++ b/src/gleam_community/maths/metrics.gleam
@@ -500,7 +500,7 @@ pub fn variance(arr: List(Float), ddof: Int) -> Result(Float, String) {
 ///
 /// Calculcate the sample standard deviation of the elements in a list:
 /// \\[
-/// s = \left(\frac{1}{n - d} \sum_{i=1}^{n}(x_i - \bar{x}))\right)^{\frac{1}{2}}
+/// s = \left(\frac{1}{n - d} \sum_{i=1}^{n}(x_i - \bar{x})\right)^{\frac{1}{2}}
 /// \\]
 ///
 /// In the formula, $$n$$ is the sample size (the length of the list) and