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Browse CoursesProbability is a branch of mathematics exploring the likelihood of events occurring. It quantifies uncertainty, providing tools for analyzing randomness and making predictions. Probability theory is fundamental in statistics, risk assessment, and various scientific and practical applications.
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Probability is a branch of mathematics that deals with the likelihood or chance of events occurring. It quantifies uncertainty and provides a framework for understanding randomness and making predictions based on incomplete information.
Probability is crucial for decision-making, risk assessment, and understanding uncertainty in various fields. It is applied in statistics, finance, gaming, science, and everyday life to model and analyze situations involving chance.
Key concepts include probability distributions, random variables, events, and conditional probability. Probability distributions describe the likelihood of different outcomes, while random variables quantify uncertainty in a measurable way. Conditional probability assesses the likelihood of an event given the occurrence of another event.
In statistics, probability is used to model and interpret uncertainty in data. Decision-making involves assessing the probabilities of different outcomes and choosing actions based on these probabilities. Probability theory is foundational in statistical inference, hypothesis testing, and risk analysis.
Probability has practical applications in insurance (risk assessment), finance (portfolio management), weather forecasting, genetics (inheritance patterns), and gaming (odds calculation). It is used to model uncertainties, predict outcomes, and guide decision-making in diverse scenarios.