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This document discusses discrete random variables and provides examples to illustrate key concepts like probability distribution, cumulative distribution function, and probability density function. Specifically, it: 1) Defines a probability distribution as a table showing probabilities of outcomes from an experiment with discrete variables that can only take countable values. 2) Gives an example of tossing a coin 3 times and calculating the probabilities of getting 0, 1, 2, or 3 heads. 3) Explains that

Author

Barbie Sabandal

Language

EN