Experimental probability is a way of estimating how likely an event is to happen by carrying out an experiment or collecting data. It is calculated by dividing the number of times an event happens by the total number of trials or times the experiment is done. For example, if you flip a coin 20 times and it lands on heads 12 times, the experimental probability of getting a head is 12 out of 20, or 0.6. Unlike theoretical probability, which predicts what should happen, experimental probability is based on actual results and can change depending on what happens during the experiment.
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