Describing Data: Statistics and Hypothesis Testing

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.