The document defines key terms related to experimental probability such as experiment, outcome, and sample space. It provides examples of identifying the sample space and outcomes for experiments involving coin flips and rolling a die. The formula for calculating experimental probability is given as the number of times an event occurred divided by the total number of trials. An example is shown of a student calculating the probability of a coin landing on heads based on 30 coin flip trials.

1. Experimental Probability Tuesday, February 9, 2010

2. Vocabulary Experiment: an activity involving chance that can have different outcomes. Outcome: the result of the experiment Sample Space: all the possible results of the experiment

3. Identifying Sample Space & Outcomes Sample Space: heads, tails Outcome: heads

4. Identifying Sample Space & Outcomes Sample Space: 1, 2, 3, 4, 5, 6 Outcome: 6

5. Finding Experimental Probability P(event) = (# of times event occurred)/(# of total trials)

6. Finding Experimental Probability Nikki flipped a coin 30 times and wanted to find the probability of the coin landing on heads. To the right is her frequency chart. P(heads) = 18/30 or 3/5 12 18 Tails Heads

7. Comparing Experimental Probability Is the probability higher for the coin landing on heads or tails? P(heads) = 18/30 or 3/5 P(tails) = 12/30 or 2/5 3/5 > 2/5, so the probability of landing on heads is higher than the probability of landing on tails. 12 18 Tails Heads