"X" and "Y" have the joint probability distribution (Table).
1) is the probability distribution of "Y"("P\\{Y=1\\}" equals sum of values of the first row of Table, "P\\{Y=2\\}" equals sum of values of the second row of Table, "P\\{Y=3\\}" equals sum of values of the third row of Table).
2) is the conditional distribution of "Y" given "X = 2""(P\\{Y=1|X=2\\}, P\\{Y=2|X=2\\}, P\\{Y=3|X=2\\};\\\\\nP\\{Y=t|X=2\\}=\\frac{P\\{X=2, Y=t\\}}{P\\{X=2\\}}).".
3) Table 3 shows that "X" and "Y" are not independent.
From Table 3 we see that "P\\{X=x,Y=y\\}\\neq P\\{X=x\\}P\\{Y=y\\}."
Values of Table 3 are all possible products of values of Tables 1) and 4) where
4) is the probability distribution of "X"("P\\{X=k\\}" equals sum of values of the k_th column of Table).
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