Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
