Update random-variables.ipynb

02-stats/random-variables.ipynb

@@ -16,7 +16,7 @@
                 "- **Discrete random variable**: Can take a countable, finite number of distinct values. For example, the number of times heads comes up when flipping a coin 10 times is a discrete random variable, since it can have values such as 0, 1, 2, ..., 10.\n",
                 "- **Continuous random variable**: It can take any value in a continuous interval. For example, the height of a randomly selected person is a continuous random variable because it can be any value within a reasonable range, such as between 50 cm and 250 cm.\n",
                 "\n",
-                "Each random variable has an associated **distribution function**, which describes the probability that the random variable will take a specific value (for discrete variables) or fall within a specific interval (for continuous variables).\n",
+                "Each **random variable** has an associated **distribution function**, which describes the probability that the random variable will take a specific value (for discrete variables) or fall within a specific interval (for continuous variables).\n",
                 "\n",
                 "![Random variables](https://github.com/4GeeksAcademy/machine-learning-content/blob/master/assets/random_variable.jpg?raw=true)"
             ]