Binomial Distributions and Probability

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I have been given a question from a peer to answer which I can't do myself. we wish to calculate the probability that a randomly selected child from class 2 gets a higher mark than a randomly selected child from class 3 (See the table below to get a better picture). It should end up like this: enter image description here

Essentially, there are 3 classes of different year level that complete the same test. Class 1 (Random Variable Y1) is the youngest (as reflected by the relatively lower scores out of 10 in the test. p4 and p5 are 0.11 and 0.20 respectively.

enter image description here

I am quite honestly stumped as to how to get to the final answer listed above. I began with noticing that some scores from class 2 will always be lower no matter what the the student from class three gets. For example a score of 5 or less will be lower than any score from any class three student (which has a lowest score of 6) so I know for a start the probability is less than 1-0.41 = 0.39 but how does one go about all the combinations of a score being higher that the other thereon?

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enter image description here

You draw numbers from this table, thusly. $$\newcommand{\hide}[1]{\underline{\phantom{#1}}} \Bbb P(Y_2>Y_3 ) ~{~=~\sum_{y=0}^{10}\Bbb P(Y_2>y)\Bbb P(Y_3=y) \qquad ~=~ \sum_{y=0}^{9}\Bbb P(Y_3=y)\sum_{z=y+1}^{10} \Bbb P(Y_2=z) \\ ~=~ {6\cdot0.00 + 0.01\;(0.22+0.12+0.04+0.01) \\ + 0.06\;(\hide{0.12}+\hide{0.04}+\hide{0.01})\\+ 0.19\;(\hide{0.04}+\hide{0.01})\\+ 0.39\;(\hide{0.01})}}$$

Well, I started you off.   You can do the rest.