and have the joint probability distribution (Table).
1) is the probability distribution of ( equals sum of values of the first row of Table, equals sum of values of the second row of Table, equals sum of values of the third row of Table).
2) is the conditional distribution of given .
3) Table 3 shows that and are not independent.
From Table 3 we see that
Values of Table 3 are all possible products of values of Tables 1) and 4) where
4) is the probability distribution of ( equals sum of values of the k_th column of Table).
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