In Probability, an experiment is an action that has various outcomes, and is usually performed to verify theoretical probability. By repeating an action many times, the result will tend to the result of the theoretical probability. For each trial, the outcome is noted. When all trials are performed, the experimental probability is calculated by the dividing number of successes with the number of trials. $$\text{experimental probability}=\frac{\text{successes}}{\text{trials}}$$ For example, a coin is flipped $1000$ times to determine the probability of flipping tails. The number of successes was $556,$ resulting in the following experimental probability. $$P(\text{tails})=\frac{556}{1000}\approx 0.55.$$ This can be compared with the theoretical probability of flipping tails, $0.5.$