Probability Distributions: Discrete Random Variables

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 1 of 4

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

Probability Distributions: Basics and Properties

Covers the basics of probability distributions, including mean, variance, and properties of random variables.

Probability and Statistics

Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.

Random Variables and Expected Value

Introduces random variables, probability distributions, and expected values through practical examples.

Discrete Random Variables: Functions and Distributions

Introduces probability mass functions for discrete random variables and various distributions, emphasizing the calculation of expectations.

Stochastic Models for Communications

Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.

Probability and Statistics: Discrete Random Variables

Explores discrete random variables, mass functions, and distribution functions in probability and statistics.

Common Distributions: Moment Generating Functions

Explores common probability distributions, special distributions, and entropy concepts.

Advanced Probabilities: Random Variables & Expected Values

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

Random Variables: Expected Value

Covers advanced probability concepts, including random variables and expected value calculation.