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In probability theory, a tree diagram may be used to represent a probability space. A tree diagram may represent a series of independent events (such as a set of coin flips) or conditional probabilities (such as drawing cards from a deck, without replacing the cards). [1] Each node on the diagram represents an event and is associated with the ...
Tree diagram (probability theory), a diagram to represent a probability space in probability theory; Decision tree, a decision support tool that uses a tree-like graph or model of decisions and their possible consequences; Event tree, inductive analytical diagram in which an event is analyzed using Boolean logic; Game tree, a tree diagram used ...
A discrete probability distribution is the probability distribution of a random variable that can take on only a countable number of values [15] (almost surely) [16] which means that the probability of any event can be expressed as a (finite or countably infinite) sum: = (=), where is a countable set with () =.
Build the event tree diagram; Obtain event failure probabilities: If the failure probability can not be obtained use fault tree analysis to calculate it. Identify the outcome risk: Calculate the overall probability of the event paths and determine the risk. Evaluate the outcome risk: Evaluate the risk of each path and determine its acceptability.
English: Tree diagram for the probabilities of events A and B. Date: 6 October 2012, 22:13:38: Source: Own work: ... Tree diagram (probability theory) Global file usage.
Tree: The full input Newick Format for a single tree Subtree: an internal node (and its descendants) or a leaf node Leaf: a node with no descendants Internal: a node and its one or more descendants BranchSet: a set of one or more Branches Branch: a tree edge and its descendant subtree. Name: the name of a node Length: the length of a tree edge.
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