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Learn what conditional probability is and how to calculate it using a formula. Find out the properties and examples of conditional probability and Bayes' theorem with diagrams and problems.
1 day ago · Simply put, conditional probability tells us the likelihood of the occurrence of an event based on the occurrence of some previous outcome. With the help of conditional probability, we can tell apart dependent and independent events.
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The conditional probability is the probability of happening of an event of A given that another event B has already occurred. It is denoted by P (A | B) and it is calculated by the formula P (A | B) = P (A ∩ B) / P (B).
Learn the definition, formula and examples of conditional probability, a measure of the probability of an event occurring given another event. Find out how to use Bayes' theorem, conditional probability tables and tree diagrams to analyze and visualize conditional probabilities.
Learn how to calculate the likelihood of an event occurring given that another event has already happened. See conditional probability formulas, examples, and applications in medical testing and weather data.
Learn how to calculate the probability of events that depend on each other, using tree diagrams, notation and formulas. See examples of dependent events such as marbles, cards and soccer games.
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Learn the definition, formula and examples of conditional probability, a probability that a certain event will occur given some knowledge about the outcome or some other event. Explore how conditional probability relates to independent and dependent events and the Monty Hall Problem.