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This lecture covers fundamental concepts in probability and statistics, including data modeling, exploratory statistics, and statistical inference. The course also delves into data analysis techniques, such as linear regression and boxplots, to interpret and draw conclusions from data sets. Emphasis is placed on understanding the randomness of phenomena studied and building statistical models. The instructor provides practical examples and tools for students to learn how to analyze and interpret data effectively.