Using the sample space for rolling two dice,illustrates a probability distribution for random variable X respending the sum of the number that appear
we define the following as the outcome
probability that the sum is 2 is as below
p(2)= (1/6) * (1/6) = 1/36 (1,1)
probability that the sum is 3
p(3) = (1/6)*(1/6)*(2 )= 1/18 (1,2) or (2,1)
Probability that the sum is 4
p(4) = ( (1/6) * (1/6) * ( 2 ) ) + ( (1/6) * (1/6) ) = 1/12 (1,3) or (3,1) or (2,2)
probability that the sum is 5
p(5) = ( (1/6) * (1/6)*( 2 ) ) + ( (1/6) * (1/6)*( 2 ) ) = 1/9 (1,4) or (4,1) or (2,3) or (3,2)
probability that the sum is 6
p(6) = ( (1/6) * (1/6)*( 2 ) ) + ( (1/6) * (1/6)*( 2 ) ) + ( (1/6) * (1/6) ) = 5/36 (1,5) or (5,1) or (2,4) or (4,2) or (3,3)
probability that the sum is 7
p(7) = ( (1/6) * (1/6)*( 2 ) ) + ( (1/6) * (1/6)*( 2 ) ) + ( (1/6) * (1/6) * (2) ) =1/6 (1,6) or (6,1) or (2,5) or (5,2) or (3,4) or (4,3)
probability that the sum is 8
p(8) = ( (1/6) * (1/6)*( 2 ) ) + ( (1/6) * (1/6)*( 2 ) ) + ( (1/6) * (1/6) ) = 5/36 (2,6) or (6,2) or (5,3) or (3,5) or (4,4)
probability that the sum is 9
p(9) = ( (1/6) * (1/6)*( 2 ) ) + ( (1/6) * (1/6)*( 2 ) ) = 1/9 (3,6) or (6,3) or (5,4) or (4,5)
probability that the sum is 10
p(10) = ( (1/6) * (1/6) * ( 2 ) ) + ( (1/6) * (1/6) ) = 1/12 (4,6) or (6,4) or (5,5)
probability that the sum is 11
p(11) = ( (1/6) * (1/6) * ( 2 ) ) = 1/18 (5,6) or (6,5)
probability that the sum is 12
p(12) = ( (1/6) * (1/6) ) = 1/36 (6,6)
Hence we may represent the probability distribution as below
"\\begin{matrix}\nX&2&3&4&5&6&7&8&9&{10}&{11}&{12}\\\\\np&{\\frac{1}{{36}}}&{\\frac{1}{{18}}}&{\\frac{1}{{12}}}&{\\frac{1}{9}}&{\\frac{5}{{36}}}&{\\frac{1}{6}}&{\\frac{5}{{36}}}&{\\frac{1}{9}}&{\\frac{1}{{12}}}&{\\frac{1}{{18}}}&{\\frac{1}{{36}}}\n\\end{matrix}"
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