From 8fd691fc415b4db8ff7193d76ee34f84690f035b Mon Sep 17 00:00:00 2001
From: Bltzz <47246028+Bltzz@users.noreply.github.com>
Date: Tue, 24 Mar 2020 15:05:56 +0100
Subject: [PATCH] Update README.md

increased readablility
---
 README.md | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/README.md b/README.md
index 4d5c5d7..a62e9fb 100644
--- a/README.md
+++ b/README.md
@@ -5,12 +5,18 @@ 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.