The likelihood that an event will occur—is determined. The most basic illustration is a coin toss. There are only two outcomes when you flip a coin: either it comes up heads or tails.
Here,
If the first die is red and the second one is green, then the sample space S is the following:
S=
(1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (2, 1), (2,2), (2,3), (2,4), (2,5), (2,6), (3, 1), (3,2), (3,3), (3,4), (3,5), (3,6), (4,1), (4,2), (4,3), (4,4), (4,5), (4,6), (5, 1), (5,2), (5,3), (5,4), (5,5), (5,6), (6, 1), (6, 2), (6,3), (6,4), (6,5), (6,6)
Hence n(S)=36.
Let's list the losing combinations:
E={(1, 1), (2, 2), (3, 3), (4, 4), (5, 5), (6, 6), (2, 1),
(2, 3), (2, 5), (4, 1), (4, 3), (4, 5), (6, 1), (6, 3), (6,5)}
n(E)=15
There are 36 total possiblities.
Out of which, winning probability is 21.
=21/36
=7/12
Given that the winning combination is 21 and the total combination is 36, the chance of rolling a winning combination is 7/12.
To know more about probability,
brainly.com/question/11234923
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