Continuous Random Variables
Offered By: Professor Knudson via YouTube
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
Probability Methods In Civil EngineeringIndian Institute of Technology, Kharagpur via Swayam 頑想學概率:機率一 (Probability (1))
National Taiwan University via Coursera Statistics with MATLAB
Udemy Engineering Probability Lectures, Fall 2018
Rensselaer Polytechnic Institute via YouTube Probability Measure
statisticsmatt via YouTube