Skill: Represent sample spaces using tree diagrams

Explanation and Free Practice Resources

A tree diagram represents a finite, multistage random experiment by showing each possible result as a branch at the appropriate stage; each complete path from the initial point to an endpoint represents one outcome in the sample space, while intermediate branches do not. The representation makes outcomes exhaustive and non-overlapping and can display branch probabilities, including changing probabilities for dependent stages, supporting path-based probability calculations. Continuous sample spaces and more advanced combinatorial generalizations are not included.

Detailed Explanation: Represent sample spaces using tree diagrams

A tree diagram shows the possible results of a random experiment in stages.

  • Each branch represents one possible result at that stage.
  • Follow a branch from left to right to complete the experiment.
  • Each complete path ending at the far right is one outcome in the sample space.
  • Intermediate points, such as the result after only the first stage, are not complete outcomes.

Example

A bag contains 22 red counters and 22 blue counters. Two counters are drawn without replacement. The color of each counter is recorded.

Step 1: Show the first draw

The first counter can be:

  • Red: probability 24=12\frac{2}{4}=\frac12
  • Blue: probability 24=12\frac{2}{4}=\frac12

Step 2: Show the second draw

The probabilities for the second draw depend on the first draw because the first counter is not replaced.

  • If the first counter is red, then 11 red and 22 blue counters remain:

    • Red: 13\frac13
    • Blue: 23\frac23
  • If the first counter is blue, then 22 red and 11 blue counter remain:

    • Red: 23\frac23
    • Blue: 13\frac13

The tree can be represented as:

Start
├── Red, 1/2
│   ├── Red, 1/3   → RR
│   └── Blue, 2/3  → RB
└── Blue, 1/2
    ├── Red, 2/3   → BR
    └── Blue, 1/3  → BB

The sample space is the set of complete paths:

S={RR, RB, BR, BB}.S=\{RR,\ RB,\ BR,\ BB\}.

The single letters at the first branches are not outcomes because they do not describe both draws.

To find the probability of a complete path, multiply the probabilities along that path:

P(RR)=12×13=16P(RR)=\frac12\times\frac13=\frac16 P(RB)=12×23=13P(RB)=\frac12\times\frac23=\frac13 P(BR)=12×23=13P(BR)=\frac12\times\frac23=\frac13 P(BB)=12×13=16P(BB)=\frac12\times\frac13=\frac16

For example, the probability of drawing one red and one blue is found by adding the two relevant paths:

P(one red and one blue)=P(RB)+P(BR)=13+13=23.P(\text{one red and one blue}) =P(RB)+P(BR) =\frac13+\frac13 =\frac23.

Thus, tree diagrams help you list every complete outcome exactly once and calculate probabilities by multiplying along paths and adding suitable paths.

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Probability Sample Space - Definition to Sample Space List


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