Update README.md

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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).
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 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):
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 ((a − x)(b − y)) / ((5a − 150)(5b − 150))
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 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:
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 • an array summing up the joint law of (X, Y ), and the marginal laws of X and Y ,
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 • an array summing up the law of Z,
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 • expected values and variances of X, Y and Z.