Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.
Covers properties and transformations of discrete random variables, focusing on PMF and expectation.
Explores combinatorial mathematics, covering permutations, combinations, and binomial coefficients, along with probability and statistics concepts.
Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.
