diff --git a/units/en/unit6/quiz.mdx b/units/en/unit6/quiz.mdx
index 2a5797e..0c49305 100644
--- a/units/en/unit6/quiz.mdx
+++ b/units/en/unit6/quiz.mdx
@@ -35,12 +35,12 @@ The best way to learn and [to avoid the illusion of competence](https://www.cour
       			correct: false,
 		},
     		{
-			text: "A reward signal with high variance has much noise in it and gets affected by, for example, stochastic (non constant) elements in the environment"
+			text: "A reward signal with high variance has much noise in it and gets affected by, for example, stochastic (non constant) elements in the environment",
 			explain: "",
       			correct: true,
 		},		
     		{
-			text: "A reward signal with low variance has much noise in it and gets affected by, for example, stochastic (non constant) elements in the environment"
+			text: "A reward signal with low variance has much noise in it and gets affected by, for example, stochastic (non constant) elements in the environment",
 			explain: "If a reward signal has low variance, then it's less affected by the noise of the environment and produce similar values regardless the random elements in the environment",
       			correct: false,
 		},
@@ -63,7 +63,7 @@ The best way to learn and [to avoid the illusion of competence](https://www.cour
       			correct: false,
 		},
     		{
-			text: "To reduce the impact of stochastic elements in Monte-Carlo, we can take `n` strategies and average them, reducing their impact impact in case of noise"
+			text: "To reduce the impact of stochastic elements in Monte-Carlo, we can take `n` strategies and average them, reducing their impact impact in case of noise",
 			explain: "",
 			correct: true,
 		},