Three Views of Probability

There are three primary interpretations of probability, each offering different perspectives and tools.

Classical: Assumes all outcomes are equally likely, ideal for dice, coins, and card games.

Frequentist: Defines probability as the long-run relative frequency of an event over repeated trials which is commonly used in scientific experiments and traditional statistics.

Bayesian: Views probability as a degree of belief, which can be updated with new data. This approach is more flexible and widely used in fields where prior knowledge matters, such as machine learning and medicine.