A rigorous foundation of probability theory with emphasis on its role in statistical analysis. Topics include probability distributions, convergence concepts, laws of large numbers, generating functions, renewal theory, branching processes, poisson processes, and central limit theorems, all developed in a theoretical framework with mathematical proofs. The course emphasizes abstraction and mathematical rigor to prepare students for advanced study in statistical analysis and related topics.