Birthday Paradox

Related lectures (29)

Page 3 of 3

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Covers probability, statistics, independence, covariance, correlation, and random variables.

Covers basic probability theory, conditional probability, independence, and Bayes' Theorem.

Delves into probability, statistics, random experiments, and statistical inference, with practical examples and insights.

Covers moments, variance, and expected values in probability and statistics, including the distribution of tokens in a product.

Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.

Covers fundamental concepts in probability and statistics, including the law of total probability, Bayes' theorem, and independence of events.

Explores the probability of complementary events and unions, with examples on dice rolls and number selection.

Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.