SCCI Digital Library and Forum

Menu

Home
About Us
Video Library
eBooks
SCCI Forum

Home » Applied Sciences » Engineering » Electrical Engineering and Computer Science (M-I-T) » Introduction to Probability (Spring 2018) (M-I-T) » Part I: The Fundamentals (M-I-T) » Lecture 6: Discrete Random Variables Part II (M-I-T) » L06.2 Variance (M-I-T)

L06.2 Variance (M-I-T)

Course:Lecture 6: Discrete Random Variables Part II (M-I-T)
Discipline:Applied Sciences
Institute:MIT
Instructor(s): Prof. John Tsitsiklis, Prof. Patrick Jaillet
Level:Graduate

Lecture 6: Discrete Random Variables Part II (M-I-T)

L06.1 Lecture Overview (M-I-T)
L06.2 Variance (M-I-T)
L06.3 The Variance of the Bernoulli & the Uniform (M-I-T)
L06.4 Conditional PMFs & Expectations Given an Event (M-I-T)
L06.5 Total Expectation Theorem (M-I-T)
L06.6 Geometric PMF Memorylessness & Expectation (M-I-T)
L06.7 Joint PMFs and the Expected Value Rule (M-I-T)
L06.8 Linearity of Expectations & the Mean of the Binomial (M-I-T)

Sialkot Chamber of Commerce & Industry P.O. Box 1870, Shahrah-e-Aiwan-e-Sanat-o-Tijarat, Sialkot City 51310 – Pakistan

Facebook Twitter Instagram

Need help?

+92-52-4261881-3

sialkot@scci.com.pk

Copyright © 2026 SCCI Digital Library and Forum | All Right Reserved. Developed By FARAZ SALEEM