Continuous Random VariablesExplores continuous random variables, density functions, joint variables, independence, and conditional densities.
Probability and StatisticsCovers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Probability and StatisticsCovers moments, variance, and expected values in probability and statistics, including the distribution of tokens in a product.
Probability and StatisticsIntroduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.
Probability and StatisticsCovers fundamental concepts in probability and statistics, including the law of total probability, Bayes' theorem, and independence of events.
