Continuous Random VariablesExplores continuous random variables, density functions, joint variables, independence, and conditional densities.
Generalized Linear ModelsCovers probability, random variables, expectation, GLMs, hypothesis testing, and Bayesian statistics with practical examples.
Probability and StatisticsDelves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Continuous Random VariablesCovers continuous random variables, probability density functions, and distributions, with practical examples.
Elements of StatisticsIntroduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
