True. The statement is generally true.
Theoretical probability is the probability calculated based on mathematical principles, assumptions, or known information about the experiment or event. It is often calculated using formulas or probability distributions.
Experimental probability, on the other hand, is determined by conducting actual experiments or trials and observing the outcomes. It is calculated by dividing the number of favorable outcomes by the total number of trials.
As the number of trials in an experiment increases, the experimental probability tends to converge towards the theoretical probability. This is known as the law of large numbers. The more trials you perform, the more representative the results become, and the closer the experimental probability gets to the theoretical probability.
However, it's important to note that this convergence is not guaranteed in every case. There could be factors such as bias, systematic errors, or other sources of variability that may affect the experimental results and prevent them from matching the theoretical probability perfectly. Nevertheless, increasing the number of trials generally improves the accuracy of the experimental probability and brings it closer to the theoretical probability.