Menu
|
111-222-292 (Ext: 245)
Home
|
About US
|
Creditors
|
Mentorship
|
Faq
Home
About US
Creditors
Mentorship
Faq
Lecture
SEARCH COURSES / LECTURES
Search Lectures
Search Courses
All Disciplines
Basic and Health Sciences
Applied Sciences
Social Sciences
All Levels
Undergraduate
School
College
Graduate
All Institutes
am
Khan Academy Urdu
Virtual Education Project Pakistan (VEPP)
Harvard
UCI Open
MIT
Oxford
Yale University
Khan Academy
Udacity
Stanford
Virtual University
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 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
(11 Lectures Available)
S#
Lecture
Course
Institute
Instructor
Discipline
1
L12.10 Interpreting the Correlation Coefficient (M-I-T)
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
MIT
Prof. John Tsitsiklis, Prof. Patrick Jaillet
Applied Sciences
2
L12.11 Correlations Matter (M-I-T)
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
MIT
Prof. John Tsitsiklis, Prof. Patrick Jaillet
Applied Sciences
3
L12.1 Lecture Overview (M-I-T)
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
MIT
Prof. John Tsitsiklis, Prof. Patrick Jaillet
Applied Sciences
4
L12.2 The Sum of Independent Discrete Random Variables (M-I-T)
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
MIT
Prof. John Tsitsiklis, Prof. Patrick Jaillet
Applied Sciences
5
L12.3 The Sum of Independent Continuous Random Variables (M-I-T)
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
MIT
Prof. John Tsitsiklis, Prof. Patrick Jaillet
Applied Sciences
6
L12.4 The Sum of Independent Normal Random Variables (M-I-T)
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
MIT
Prof. John Tsitsiklis, Prof. Patrick Jaillet
Applied Sciences
7
L12.5 Covariance (M-I-T)
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
MIT
Prof. John Tsitsiklis, Prof. Patrick Jaillet
Applied Sciences
8
L12.6 Covariance Properties (M-I-T)
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
MIT
Prof. John Tsitsiklis, Prof. Patrick Jaillet
Applied Sciences
9
L12.7 The Variance of the Sum of Random Variables (M-I-T)
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
MIT
Prof. John Tsitsiklis, Prof. Patrick Jaillet
Applied Sciences
10
L12.8 The Correlation Coefficient (M-I-T)
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
MIT
Prof. John Tsitsiklis, Prof. Patrick Jaillet
Applied Sciences
11
L12.9 Proof of Key Properties of the Correlation Coefficient (M-I-T)
Lecture 12: Sum of Independent R.V.s. Covariance and Correlation (M-I-T)
MIT
Prof. John Tsitsiklis, Prof. Patrick Jaillet
Applied Sciences
Basic and Health Sciences
Biology
Chemistry
Mathematics
Physics
Medicine
Test Prep
Applied Sciences
Agricultural Science
Computer Science
Earth, Atmospheric, and Planetary Sciences
Energy
Engineering
Healthcare
Social Sciences
Business and Finance
Economics
English
History
Arts and Humanities
Law
Literature and Linguistics
Management
Marketing
Mass Communication
Philosophy
Physical Education
Political Science
Psychology
Sociology