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This lecture covers descriptive statistics, quantifying uncertainty, and hypothesis testing. Topics include mean, variance, normal distribution, robust statistics, heavy-tailed distributions, and various probability distributions. It also discusses hypothesis testing, confidence intervals, Pearson's correlation coefficient, and Simpson's paradox.