These CPDs are presented in the Probabilistic Graphical Models course on Coursera as examples of conditional independence and conditional dependence, respectively. I have a vague idea of why the first set of tables show conditional independence but am not sure how to explain it. I can see, for instance, that the probability of $s^0{}$ and G given $i^0{}$ sums to 0.95 which is the probability of $s^0{}$ given $i^0{}$.

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I don't know how the following shows loss of independence.

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