# Flashcards - Introduction to Conditional Probability & Diagrams

Flashcards - Introduction to Conditional Probability & Diagrams
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Independent events
In probability theory, two events are independent, statistically independent, or stochastically independent if the occurrence of one does not affect the probability of the other
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Conditional probability
In probability theory, conditional probability is a measure of the probability of an event given that another event has occurred
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Conditional probability
In probability theory, conditional probability is a measure of the probability of an event given that another event has occurred
Independent events
In probability theory, two events are independent, statistically independent, or stochastically independent if the occurrence of one does not affect the probability of the other
mutually exclusive events
In logic and probability theory, two propositions are mutually exclusive or disjoint if they cannot both be true
subsets
In mathematics, especially in set theory, a set A is a subset of a set B, or equivalently B is a superset of A, if A is "contained" inside B, that is, all elements of A are also elements of B
universal set
In set theory, a universal set is a set which contains all objects, including itself

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