Probability

Related lectures (28)

Page 2 of 3

Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.

Covers the basics of probability theory, random variables, joint probability, and inference.

Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.

Introduces the key concepts of convexity and its applications in different fields.

Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Explores joint random variables, conditional density, and independence in probability and statistics.

Covers the normal distribution, including its properties and calculations.

Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.

Explores variance, covariance, and practical applications in statistics and probability.