- Representation: Tree diagrams show relationships between events or outcomes in a visual way.
- Nodes: Points on the tree represent events, with parent nodes depicting specific occurrences and sibling nodes showing related possibilities.
- Branches: Lines connect nodes, illustrating the flow from one event to another. Each branch displays the probability of the associated outcome.
- Dependence: Tree diagrams differentiate between dependent and independent events, guiding the structure of branches accordingly.
- Probabilities: Numerical values assigned to branches indicate the likelihood of specific outcomes occurring.
- Construction: The process involves identifying all possible outcomes, drawing branches, and assigning probabilities at each step.
- Multiplicative Rule: Overall probabilities are calculated by multiplying the probabilities along the branches, summing up to 1.
- Versatility: Tree diagrams can be applied to various scenarios, from simple coin tosses to complex decision-making processes.
Tree Diagram : Meaning, Features, Conditional Probability and Examples
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