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* When the information about probabilities associated with each branch is included, the tree diagram facilitates the computation of the probabilities of the different possible outcomes.
* The tree diagram is a particularly useful device when the experiment can be thought of as occurring in stages.
Example 1: Two Nights of Games Imagine that a family decides to play a game each night. They all agree to use a tetrahedral die (i.e., a four-sided pyramidal die where each of four possible outcomes is equally likely—see image on page 9) each night to randomly determine if they will play a board game ( ) or a card game ( ). 𝑩 𝑪
The tree diagram mapping the possible overall outcomes over two consecutive nights will be developed below.
To make a tree diagram, first present all possibilities for the first stage. (In this case, Monday.)
Monday Tuesday Outcome
B
C
Then, from each branch of the first stage, attach all possibilities for the second stage (Tuesday).
Monday Tuesday Outcome
B BB
B
C BC
B CB
C
C CC
Now let’s add probabilities to the diagram?
If all things are equal and they are flipping a coin to decide which game to play (heads for a board game and tails for a card game), what is the probability tree diagram going to look like on Wednesday WITH THE PROBABILITIES LISTED?
Monday Tuesday Wednesday Outcome
B (.5) B (.5) BBB (.125)
C (.5) BBC (.125) B (.5)
B (.5) BCB (.125) C (.5)
C (.5) BCC (.125)
B (.5) CBB (.125)
B (.5) C (.5) CBC (.125)
C (.5)
B (.5) CCB (.125) C (.5)
C (.5) CCC (.125)
Now it is your turn….we are going to use a4-sided triangular dice that is numbered 1, 2, 3 and 4. The number 1 is for a B (board game). The numbers 2, 3 and 4 are for C (card games).
Can you complete the following tree showing the probability outcomes?
.75 * .75 = .5625 or 56.25%
.75 * .25 = .1875 or 18.75%
.75 * .25 = .1875 or 18.75%
.25 * .25 = .0625 or 6.25%
Is this what you came up with?