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)

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