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Electrical Engineering and Computer Science (M-I-T)
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Introduction to Probability (Spring 2018) (M-I-T)
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Part I: The Fundamentals (M-I-T)
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Lecture 4: Counting (M-I-T)
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L04.5 Binomial Probabilities (M-I-T)
L04.5 Binomial Probabilities (M-I-T)
Course:
Lecture 4: Counting (M-I-T)
Discipline:
Applied Sciences
Institute:
MIT
Instructor(s):
Prof. John Tsitsiklis, Prof. Patrick Jaillet
Level:
Graduate
Lecture 4: Counting (M-I-T)
L04.1 Lecture Overview (M-I-T)
L04.2 The Counting Principle (M-I-T)
L04.3 Die Roll Example (M-I-T)
L04.4 Combinations (M-I-T)
L04.5 Binomial Probabilities (M-I-T)
L04.6 A Coin Tossing Example (M-I-T)
L04.7 Partitions (M-I-T)
L04.8 Each Person Gets An Ace (M-I-T)
L04.9 Multinomial Probabilities (M-I-T)