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 random variables, sample spaces, probability distributions, functions, expected value, variance, and estimations.
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.
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
