Suppose that we can perform this process repeatedly under similar conditions. In our example, suppose that we can roll the two dice many times, where we are careful to roll the dice in the same manner each time.
I did this dice experiment 50 times. Each time I recorded the sum of the two dice and got the following outcomes:
4 10 6 7 5 10 4 6 5 6 11 11 3 3 6
7 10 10 4 4 7 8 8 7 7 4 10 11 3 8
6 10 9 4 8 4 3 8 7 3 7 5 4 11 9
5 5 5 8 5
To approximate the probability that the sum is equal to 6, I count the number of 6's in my experiments (5) and divide by the total number of experiments (50). That is, the probability of observing a 6 is roughly the relative frequency of 6's.
# of 6's
PROBABILITY (SUM IS 6) is approximately -----------
# of tosses
5
= ---- = .1
50
In general, the probability of an event can be approximated by the relative frequency , or proportion of times that the event occurs.
# of times event occurs
PROBABILITY (EVENT) is approximately -----------------------
# of experiments
Comments about this definition of probability:
Click here for a demonstration of this idea using computer dice rolling.
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