Experimental Probability
The ratio of the number of ties an event occurs to the total amount of trials performed. Probability that is found through an experiment.
Experimental probability is a type of probability that is based on actual results from a real-world experiment or event. It is calculated by dividing the number of times an event occurred by the total number of trials or experiments.
For example, if you flip a coin 20 times and it lands on heads 12 times, the experimental probability of getting heads is 12/20 or 0.6.
Experimental probability can vary from trial to trial, especially if there are only a few trials. That is why it is important to conduct many trials or experiments to get a more accurate or reliable estimate of probability.
Experimental probability can also be used to estimate the probability of rare events or events that cannot be easily predicted using theoretical probabilities.
Overall, while theoretical probability is based on mathematical calculations and assumptions, experimental probability is based on real-world observations and data.
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