Probability and Statistics

Related lectures (29)

Page 3 of 3

Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.

Covers fundamental statistics concepts, including estimation theory, distributions, and the law of large numbers, with practical examples.

Covers the multinomial distribution, joint density, marginal distribution, and conditional distribution.

Explores moment-generating functions, linear combinations, and normality of random variables.

Covers the modes of convergence of random variables and the Central Limit Theorem, discussing implications and approximations.

Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.

Covers the normal distribution, including its properties and calculations.

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

Introduces the basics of probability models, covering random variables, distributions, and statistical estimation.