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This lecture covers the theory of sampling, focusing on statistics for mathematicians. Topics include sampling distributions, exhaustive statistics, Fisher-Neyman criterion, and Student-Fisher theorem. The lecture also discusses the joint density of random variables, moments for normal distribution sampling, and the Student's t-distribution.