diff --git a/examples/distances/distances.ipynb b/examples/distances/distances.ipynb
index 077752f9cf..e886a295f0 100644
--- a/examples/distances/distances.ipynb
+++ b/examples/distances/distances.ipynb
@@ -47,7 +47,7 @@
     "  shape `(n,)` or `(1,n)`. The simplest distance is Euclidean distance. This measures the sum of squared\n",
     "distances between points.\n",
     "\n",
-    "$$d_e(a, b) = \\sqrt{\\sum_{i=1}^m(a_i-b_i)}$$\n",
+    "$$d_e(a, b) = \\sqrt{\\sum_{i=1}^m(a_i-b_i)^2}$$\n",
     "\n",
     "The most popular time series specific distance is dynamic time warping (DTW). These\n",
     "and other distance functions are imported form `aeon.distances`."
@@ -197,7 +197,7 @@
   {
    "cell_type": "markdown",
    "source": [
-    "Elastic distances such dynamic time warping realign series to compensate for offset.\n",
+    "Elastic distances such as dynamic time warping realign series to compensate for offset.\n",
     "If we use `dtw_distance` instead of `euclidean_distance`"
    ],
    "metadata": {