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 7: Discrete Random Variables Part III (M-I-T)

Lecture 7: Discrete Random Variables Part III (M-I-T)

S#	Lecture	Course	Institute	Instructor	Discipline
1	L07.1 Lecture Overview (M-I-T)	Lecture 7: Discrete Random Variables Part III (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
2	L07.2 Conditional PMFs (M-I-T)	Lecture 7: Discrete Random Variables Part III (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
3	L07.3 Conditional Expectation & the Total Expectation Theorem (M-I-T)	Lecture 7: Discrete Random Variables Part III (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
4	L07.4 Independence of Random Variables (M-I-T)	Lecture 7: Discrete Random Variables Part III (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
5	L07.5 Example (M-I-T)	Lecture 7: Discrete Random Variables Part III (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
6	L07.6 Independence & Expectations (M-I-T)	Lecture 7: Discrete Random Variables Part III (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
7	L07.7 Independence, Variances & the Binomial Variance (M-I-T)	Lecture 7: Discrete Random Variables Part III (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
8	L07.8 The Hat Problem (M-I-T)	Lecture 7: Discrete Random Variables Part III (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
9	S07.1 The Inclusion-Exclusion Formula (M-I-T)	Lecture 7: Discrete Random Variables Part III (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
10	S07.2 The Variance of the Geometric (M-I-T)	Lecture 7: Discrete Random Variables Part III (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
11	S07.3 Independence of Random Variables Versus Independence of Events (M-I-T)	Lecture 7: Discrete Random Variables Part III (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences