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This lecture covers the basics of comparison statistics, focusing on probability, inferential statistics, error rates, statistical power, and hypothesis testing. It discusses the misinterpretation of non-significance, the impact of sample size on statistical significance, and the effectiveness of experimental treatments using real-life examples. Additionally, it explores the relationship between body weight and deadlift weight in a weightlifting population, emphasizing the importance of statistical methods in analyzing experimental data.