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This lecture covers the concepts of completeness, minimal sufficiency, and special families of models in statistical theory. The instructor explains the Lehmann-Scheffé theorem, Basu's theorem, and the properties of exponential families of distributions. Emphasis is placed on the importance of exponential families and the transformation families in modeling data, as well as the invariance and equivariance properties of statistics in different parametric models.