Elementary event

Related lectures (18)

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Covers the basics of probability theory, including events, intersections, unions, and probabilities.

Explains conditional probability through dice and coin examples.

Introduces fundamental concepts of probability theory, including sample space, event space, and probability laws.

Explores discrete random variables, mass functions, and distribution functions in probability and statistics.

Explores combinatorial mathematics, covering permutations, combinations, and binomial coefficients, along with probability and statistics concepts.

Covers conditional probability distributions and introduces the concept of conditional expected value.

Introduces fundamental probability concepts, including events, complements, conditional probability, and random variables.

Introduces discrete event simulation through the example of Rico at Satellite, emphasizing the importance of statistical analysis.