An experiment is carried out repeatedly. The total number of times the experiment is conducted and the number of times in which the results are outcomes of interest are recorded. These counts are then used to calculate the experimental probabilities of the outcomes.
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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.
In a probability experiment, various outcomes are possible and the experiment is conducted to observe which outcomes occur. The experiment is performed repeatedly to collect data and determine the likelihood or probability of each outcome happening. The results of the experiment are analyzed to understand and make predictions about future occurrences of the event.
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
The probability of an event may be measured experimentally or theoretically. In experimental probability, an experiment is conducted repeatedly. The probability of the event is the number of experiments in which the event occurs as a proportion of the number of times the experiment is conducted. By contrast, the theoretical probability is calculated from theoretical models and laws of science (and some assumptions about unbiased/fairness).