Joint probability distribution for discrete random variable GOOD example(PART-1)

In this video explaining one problem of joint probability. This probability is discrete random variable. This topic helps in engineering and science students. The joint probability distribution for discrete random variables represents the probability of all possible combinations of outcomes of the random variables. It can be represented by a probability mass function (PMF) which gives the probability of each possible combination of outcomes.
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