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Advanced Probability
Sample space as the set of all possible outcomes, events and probability function. Permutations and combinations, examples using counting methods, sampling with or without replacement. Algebra of events. Conditional probability, partitions of sample space, theorem of total probability, Bayes's theorem, independence. Examples with statistical implications.
Source: Algebra to Go - A Mathematics Handbook Great Source Education Group - A Houghton Mifflin Company

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