Matthew learned the fundamental principles of probability, including the mathematics of chance, random variables, and probability distributions. He also learned how to apply probability concepts to real-world scenarios, such as calculating the likelihood of events, understanding conditional probability, and making informed decisions under uncertainty. This class equips student with the essential tools to assess risk, make predictions, and analyze uncertain outcomes, providing a strong foundation for statistical analysis and decision science.