Empirical Probability Distribution

An empirical probability distribution is a way to determine the likelihood of various outcomes based on actual observed data or experiments. Instead of relying on theoretical formulas, it uses the frequency with which each outcome has occurred in real-world observations. For example, if you record the number of rainy days each month over a year, the empirical probability of rain on a given day is calculated by dividing the number of rainy days by the total days observed. This approach provides a practical estimate of probabilities based on real evidence, making it useful for understanding and predicting real-world phenomena.