Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Covers moments, variance, and expected values in probability and statistics, including the distribution of tokens in a product.
Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
