Learning Targets
Sometimes we need a systematic way to count the number of outcomes that are possible in a given situation. For example, suppose there are 3 people (A, B, and C) who want to run for the president of a club and 4 different people (1, 2, 3, and 4) who want to run for vice president of the club. We can use a tree, a table, or an ordered list to count how many different combinations are possible for a president to be paired with a vice president.
With a tree, we can start with a branch for each of the people who want to be president. Then for each possible president, we add a branch for each possible vice president, for a total of 3 • 4 = 12 possible pairs. We can also start by counting vice presidents first and then adding a branch for each possible president, for a total of 3 • 4 = 12 possible pairs.
So does this ordered list:
A1, A2, A3, A4, B1, B2, B3, B4, C1, C2, C3, C4
Tree:
A table can show the same result:
How many different meals are possible if each meal includes one main course, one side dish, and one drink?
Consider the experiment: Flip a coin, and then roll a number cube.
Elena, Kiran, and Priya each use a different method for finding the sample space of this experiment.
Elena carefully writes a list of all the options:
Heads 1, Heads 2, Heads 3, Heads 4, Heads 5, Heads 6
Tails 1, Tails 2, Tails 3, Tails 4, Tails 5, Tails 6.
Kiran makes a table:
Priya draws a tree with branches in which each pathway represents a different outcome:
What are some methods for writing out the sample space of a chance experiment that consists of multiple steps?
How does the tree method relate to finding the number of outcomes in a sample space?
Why is it important to know the number of outcomes in a sample space when finding probability?