Update README.md

Markdown instead of Latex

1-Introduction/04-stats-and-probability/README.md

@@ -25,7 +25,7 @@ In the case of discrete random variables, it is easy to describe the probability
 
 The most well-known discrete distribution is **uniform distribution**, in which there is a sample space of N elements, with equal probability of 1/N for each of them. 
 
-It is more difficult to describe the probability distribution of a continuous variable, with values drawn from some interval [a,b], or the whole set of real numbers ℝ. Consider the case of bus arrival time. In fact, for each exact arrival time $t$, the probability of a bus arriving at exactly that time is 0!
+It is more difficult to describe the probability distribution of a continuous variable, with values drawn from some interval [a,b], or the whole set of real numbers ℝ. Consider the case of bus arrival time. In fact, for each exact arrival time *t*, the probability of a bus arriving at exactly that time is 0!
 
 > Now you know that events with 0 probability happen, and very often! At least each time when the bus arrives!