Update README.md

README.md

@@ -1,2 +1,16 @@
 # 202_unsold_2019
 Maths projects from Epitech
+
+Description:
+Steven is a suit-seller in Mississippi. Once a year, he gets rid of his unsold stock, selling separately jackets
+and trousers, at $10, $20, $30, $40 and $50. He’d like to know how much each piece of clothing is likely to
+yield (expected value and variance).
+Steven gave his statistician friend a mission: to deduce from his past results the probability to sell a $x jacket
+and $y trousers together. It appears that the probability is defined by the following formula (a and b being
+integers greater than 50, depending on the economic climate):
+((a − x)(b − y)) / ((5a − 150)(5b − 150))
+Let’s call X, Y and Z, respectively, the random variables that represent “the price of a sold jacket”, “the price
+of sold trousers” and “the price of a sold suit”. Given the values of a and b, your software must print:
+• an array summing up the joint law of (X, Y ), and the marginal laws of X and Y ,
+• an array summing up the law of Z,
+• expected values and variances of X, Y and Z.