Applied probability is a branch of probability theory that focuses on the application of probabilistic models and statistical techniques to solve real-world problems across various fields. It involves using mathematical tools and concepts to analyze and interpret random phenomena, make predictions, and inform decision-making under uncertainty. Key aspects of applied probability include: 1. **Modeling Real-World Situations**: Applied probability is used to create models that represent random processes or systems.
New to topics? Read the docs here!