Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
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.
