Joint Probability and Joint Distributions: Definition, Examples
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For each of the following four subparts, you are given three joint probability distribution tables. For each distribution, please identify if the given independence / conditional independence assumption is true or false. For your convenience, we have also provided some marginal and conditional probability distribution tables that could assist you in solving this problem.PX,Y0.2400.1600.3600.240X P(X)0.600 0.400PY 0.400 0.600X is independent from YFalse
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