diff --git a/1-Introduction/04-stats-and-probability/README.md b/1-Introduction/04-stats-and-probability/README.md
index 45de5da9..89de5407 100644
--- a/1-Introduction/04-stats-and-probability/README.md
+++ b/1-Introduction/04-stats-and-probability/README.md
@@ -3,9 +3,9 @@
 Statistics and Probability Theory are two highly related areas of Mathematics that are highly relevant to Data Science. It is possible to operate with data without deep knowledge of mathematics, but it is still better to know at least some basic concepts. Here we will present a short introduction that will help you get started.
 
 [![Intro Video](images/video-prob-and-stats.png)](https://youtu.be/Z5Zy85g4Yjw)
-## Pre-Lecture Quiz
 
-[Pre-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/6)
+
+## [Pre-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/6)
 
 ## Probability and Random Variables
 
@@ -235,9 +235,8 @@ In this section, we have learnt:
 
 While this is definitely not exhaustive list of topics that exist within probability and statistics, it should be enough to give you a good start into this course.
 
-## Post-Lecture Quiz
 
-[Post-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/7)
+## [Post-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/7)
 
 ## Review & Self Study