Quantiles and Distributions

Related lectures (31)

Page 3 of 4

Explores random variables, expectation, and independence in probability theory.

Covers the normal distribution, including its properties and calculations.

Discusses vectors of random variables and empirical distributions, including their properties and significance in statistics.

Explores generating functions, Laplace transform, and their role in probability distributions.

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

Introduces random variables, probability measurement, expectation, moments, and relations between random variables.

Explores Bayes' Theorem for defective parts detection, discrete random variables, and distribution functions, with practical examples and exercises.

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

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.