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Learn about joint continuous random variables in this university-level statistics lecture covering essential concepts including double integrals, marginal probability density functions (PDFs), and conditional PDFs. Explore the relationships between random variables through independence testing and dive into conditional expectation calculations. Master fundamental mathematical techniques for analyzing multivariate probability distributions through detailed explanations and practical examples.