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Discrete and continual likelihood distributions- the chance mass, chance distribution, or likelihood density is a purpose which describes the likelihood of any random variable by taking and assuming specific values. In discrete probability distributions, this random variable is really a discrete variable. As an example, flipping a coin two situations presents 4 attainable outcomes, HH, HT, TH and TT (H for head and T for tail).In the event that the random variable X represents the number of heads which final result sort the experiment, then it could possibly only take the values of 0, one or two and for this reason is discrete random variable.

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