diff --git a/probability-bernoulli-with-python.ipynb b/probability-bernoulli-with-python.ipynb
index e0a1d18..d3e5f5b 100644
--- a/probability-bernoulli-with-python.ipynb
+++ b/probability-bernoulli-with-python.ipynb
@@ -9,7 +9,7 @@
       "source": [
         "# Introduction to Probability\n",
         "\n",
-        "*The probability of an event is a number between 0 and 1, where, roughly speaking, 0 indicates the impossibility of the event and 1 indicates certainty. The higher the probability of an event, the more likely it is that the event will occur. A simple example is the tossing of a fair (unbiased) coin. Since the coin is fair, the two outcomes (\"heads\" and \"tails\") are both equally probable; the probability of \"heads\" equals the probability of \"tails\"; and since no other outcomes are possible, the probability of either \"heads\" or \"tails\" is 1/2 (which could also be written as 0.5 or 50%).* --- [Source](https://en.wikipedia.org/wiki/Probability)"
+        "*The probability of an event is a number between 0 and 1, where, roughly speaking, 0 indicates the impossibility of the event and 1 indicates certainty. The higher the probability of an event, the more likely it is that the event will occur. A simple example is the tossing of a fair (unbiased) coin. Since the coin is fair, the two outcomes (\"heads\" and \"tails\") are both equally probable; the probability of \"heads\" equals the probability of \"tails\"; and since no other outcomes are possible, the probability of either \"heads\" or \"tails\" is 1/2 (Which could also be written as 0.5 or 50%).* --- [Source](https://en.wikipedia.org/wiki/Probability)"
       ]
     },
     {