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1
An Introduction to Continuous Random Variables and Probability Density Functions
2
The Uniform Distribution
3
Notes on Continuous Random Variables' Probability Density Functions
4
Cumulative Distribution Functions for Continuous Random Variables
5
Connecting Probability Density Functions and Cumulative Distribution Functions
6
Expectation of a Continuous Random Variable
7
Expectation of a Function of a Continuous Random Variable
8
Variance of a Random Variable
9
Variance (Continuous Example)
10
Exponential Distribution Basics
11
Gamma Basics
12
Chi-Squared Basics
13
Normal Distribution Basics
Description:
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.

Continuous Random Variables

Professor Knudson
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