Understanding probability formulas for calculating event likelihood

The article outlines various probability formulas used for calculating the likelihood of events. These formulas are categorized by their application, including classical, joint, conditional, and binomial probabilities. Key formulas presented include the basic probability calculation (favorable outcomes divided by total outcomes), rules for unions and intersections of events, and the complementary rule. The text also details formulas for independent and dependent events, as well as Bayes' Theorem. Additional formulas discussed cover relative frequency, mutually exclusive events, and specific distributions like Bernoulli and Normal. The article provides a comprehensive overview of mathematical tools for probability analysis.