The statement that best describes experimental probability is:

• "It is the ratio of the number of successful outcomes to the total number of trials in an actual experiment."

Explanation:

Experimental probability is calculated based on the outcomes of an actual experiment or trial, as opposed to theoretical probability, which is determined based on expected outcomes without conducting an experiment.

Would you like more details on how to calculate experimental probability?

Here are five related questions:

1. How does experimental probability differ from theoretical probability?
2. What are some real-life examples where experimental probability is used?
3. How does increasing the number of trials affect the accuracy of experimental probability?
4. Can experimental probability ever be equal to theoretical probability?
5. How do you conduct an experiment to determine the experimental probability?

Tip: The larger the number of trials, the closer the experimental probability tends to get to the theoretical probability.