PROBABILIDAD

Learn the basics of probability, its definitions, types (classical, empirical, subjective), and the difference between frequentist and Bayesian approaches.

Explore the fundamental concepts of random experiments and events in probability, with practical examples and detailed explanations.

A Markov chain models a system that moves between states where the next state depends only on the current one, not on the full history.

Learn about the union of events in probability, a fundamental concept that helps in understanding the likelihood of at least one of several events occurring.

Learn about the intersection of events in probability, a fundamental concept that helps determine the likelihood of multiple events occurring simultaneously.

Learn about the difference between two events in probability, also known as the set difference, and its applications.

Learn about independent events in probability, their significance, and how to calculate probabilities involving independent events.

Learn about complementary events, a fundamental concept in probability theory.

Learn about incompatible or disjoint events, a fundamental concept in probability theory.

Explore conditional probability, its importance, applications, and real-world examples with detailed explanations.

The law of total probability decomposes the probability of an event into weighted contributions from all possible scenarios.

Bayes theorem updates the probability of a hypothesis after observing new evidence, combining prior beliefs with conditional probabilities.

Learn about combinations, a fundamental concept in probability for counting the number of ways to choose items from a set without regard to order.

Learn about permutations, a concept in probability used to determine the number of ways to arrange items where order matters

Learn about variations, a combinatorial method used to calculate arrangements where the order matters and can include or exclude repetition.