Abstract
After learning how to determine the probability value for a single random
experiment, this chapter gives you the tools for compound random experiments. The probability
tree that graphically presents the experiment is defined first, followed by numerous details and
laws, leading to the mastery of calculation tricks for an experiment composed of n sub-experiments.
Keywords: Bayes’ theorem, Conditional probability, Global probability, Total probability law, Tree diagram of probabilities.
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