Probability and StatisticsDelves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Continuous Random VariablesExplores continuous random variables, density functions, joint variables, independence, and conditional densities.
Calculations of ExpectationCovers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.
Continuous Random VariablesCovers continuous random variables, probability density functions, and distributions, with practical examples.
Probability and StatisticsCovers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Advanced Probability: SummaryCovers random variables, sample spaces, probability distributions, functions, expected value, variance, and estimations.
Probability and StatisticsIntroduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
