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 probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.
Explores air pollution analysis using wind data, probability distributions, and trajectory models for air quality assessment.
Covers continuous random variables, probability density functions, and distributions, with practical examples.
Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
