Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Introduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.
Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.
Covers random variables, expectation, and distributions in probability spaces.
Covers moments, variance, and expected values in probability and statistics, including the distribution of tokens in a product.
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
