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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 1: Probability Models and Axioms (M-I-T) » L01.7 A Discrete Example (M-I-T)

L01.7 A Discrete Example (M-I-T)

Course:Lecture 1: Probability Models and Axioms (M-I-T)
Discipline:Applied Sciences
Institute:MIT
Instructor(s): Prof. John Tsitsiklis, Prof. Patrick Jaillet
Level:Graduate

Lecture 1: Probability Models and Axioms (M-I-T)

L01.10 Interpretations & Uses of Probabilities (M-I-T)
L01.1 Lecture Overview (M-I-T)
L01.2 Sample Space (M-I-T)
L01.3 Sample Space Examples (M-I-T)
L01.4 Probability Axioms (M-I-T)
L01.5 Simple Properties of Probabilities (M-I-T)
L01.6 More Properties of Probabilities (M-I-T)
L01.7 A Discrete Example (M-I-T)
L01.8 A Continuous Example (M-I-T)
L01.9 Countable Additivity (M-I-T)

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