A tree diagram represents the possible outcomes of a multistep chance experiment by showing each choice as a branch from the preceding choice; complete paths represent distinct outcomes in the sample space. The diagram supports systematic counting and identifying equally likely outcomes, including cases where choices differ at successive stages, while distinguishing complete outcomes from intermediate events; these ideas support calculating simple probabilities as favorable outcomes over total equally likely outcomes.
A tree diagram helps you list every possible outcome of a chance experiment with more than one step.
Example: A coin is flipped and then a number cube is rolled. What is the probability of getting heads and an even number?
The coin can land on heads or tails:
Start
├── Heads
└── Tails
After each coin result, the number cube can show or .
Start
├── Heads
│ ├── 1
│ ├── 2
│ ├── 3
│ ├── 4
│ ├── 5
│ └── 6
└── Tails
├── 1
├── 2
├── 3
├── 4
├── 5
└── 6
The complete paths are
and
There are complete outcomes altogether. The word “Heads” by itself is not a complete outcome because the number cube result is still missing.
We need heads and an even number. The favorable paths are
There are favorable outcomes.
Since all complete outcomes are equally likely,
So, the probability is .
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