Probability Laws and Properties

Related lectures (29)

Page 3 of 3

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

Introduces fundamental concepts of probability theory, including sample space, event space, and probability laws.

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

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

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

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

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

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

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