YoVDO

Continuous Random Variables

Offered By: Professor Knudson via YouTube

Tags

Statistics & Probability Courses Probability Theory Courses Probability Density Functions Courses Cumulative Distribution Functions Courses Continuous Random Variables Courses

Course Description

Overview

Explore the fundamental concepts of continuous random variables in this comprehensive 1.5-hour lecture. Delve into probability density functions, uniform distribution, and cumulative distribution functions. Learn about expectation and variance for continuous random variables, and examine specific distributions including exponential, gamma, chi-squared, and normal. Gain a solid understanding of these essential statistical concepts through clear explanations and practical examples provided by Professor Knudson.

Syllabus

An Introduction to Continuous Random Variables and Probability Density Functions.
The Uniform Distribution.
Notes on Continuous Random Variables' Probability Density Functions.
Cumulative Distribution Functions for Continuous Random Variables.
Connecting Probability Density Functions and Cumulative Distribution Functions.
Expectation of a Continuous Random Variable.
Expectation of a Function of a Continuous Random Variable.
Variance of a Random Variable.
Variance (Continuous Example).
Exponential Distribution Basics.
Gamma Basics.
Chi-Squared Basics.
Normal Distribution Basics.


Taught by

Professor Knudson

Related Courses

Introduction to Statistics: Probability
University of California, Berkeley via edX
Aléatoire : une introduction aux probabilités - Partie 1
École Polytechnique via Coursera
Einführung in die Wahrscheinlichkeitstheorie
Johannes Gutenberg University Mainz via iversity
Combinatorics and Probability
Moscow Institute of Physics and Technology via Coursera
Probability
University of Pennsylvania via Coursera