Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Explores modes of convergence in probability and statistics, illustrating concepts with examples and discussing the continuity theorem.
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Covers continuous random variables, probability density functions, and distributions, with practical examples.
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
