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Answered 2012-01-07 00:18:02

Experimental probability is calculated by taking the data produced from a performed experiment and calculating probability from that data. An example would be flipping a coin. The theoretical probability of landing on heads is 50%, .5 or 1/2, as is the theoretical probability of landing on tails. If during an experiment, however, a coin is flipped 100 times and lands on heads 60 times and tails 40 times, the experimental probability for this experiment for landing on heads is 60%, .6 or 6/10. The experimental probability of landing on tails would be 40%, .4, or 6/10.

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To find the experimental probability of an event you carry out an experiment or trial a very large number of times. The experimental probability is the proportion of these in which the event occurs.


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The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.


You find out how many choices there are in a spinner and then you take what it wants you to find the probability of and tur it into a fraction For example: You have a spinner with 4 triangles in it....2 are red and 2 are green,What is the probability of landing on a green triangle 2 out of 4


the differences of observation and experimetal is that observations are looked at and researhed and experimental is to experiment.



Probability that the sum is 6 = 5/36 Probability that the sum is 7 = 6/36


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what is the probability of P(4or6) as a fraction, decimal and a percent


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