Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
