Conditional probability: Unlocking the secrets behind statistical significance and game theory.
Conditional probability is a key concept used when the given information is more specific than the initial outcomes. This concept is widely used in various fields like statistics and game theory. It helps in calculating expected payoffs in games and making decisions based on incomplete information. Key statistical concepts like significance level and maximum likelihood estimation are defined using conditional probabilities. Overall, conditional probability plays a crucial role in many scientific and social science theories and methodologies.