The two differ in the manner in which they are derived. The first requires a large number of trials (or simulations) whereas the second requires a suitable model to which the laws of science - physics, genetics - can be applied.
The two differ in the manner in which they are derived. The first requires a large number of trials (or simulations) whereas the second requires a suitable model to which the laws of science - physics, genetics - can be applied.
The two differ in the manner in which they are derived. The first requires a large number of trials (or simulations) whereas the second requires a suitable model to which the laws of science - physics, genetics - can be applied.
The two differ in the manner in which they are derived. The first requires a large number of trials (or simulations) whereas the second requires a suitable model to which the laws of science - physics, genetics - can be applied.
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The two differ in the manner in which they are derived. The first requires a large number of trials (or simulations) whereas the second requires a suitable model to which the laws of science - physics, genetics - can be applied.
experimental probability
As the number of times that the experiment is conducted increases, the experimental probability will near the theoretical probability - unless there is a problem with the theoretical model.
Theoretical probability is what should occur (what you think is going to occur) and experimental probability is what really occurs when you conduct an experiment.
The experimental probability of anything cannot be answered without doing it, because that is what experimental probability is - the probability that results from conducting an experiment, a posteri. This is different than theoretical probability, which can be computed a priori. For instance, the theoretical probability of rolling a 3 is 1 in 6, or about 0.1667, but the experimental probability changes every time you run the experiment
They are experimental probabilities.