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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 II: Inference & Limit Theorems (M-I-T)
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Lecture 19: The Central Limit Theorem (CLT) (M-I-T)
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L19.1 Lecture Overview (M-I-T)
L19.1 Lecture Overview (M-I-T)
Course:
Lecture 19: The Central Limit Theorem (CLT) (M-I-T)
Discipline:
Applied Sciences
Institute:
MIT
Instructor(s):
Prof. John Tsitsiklis, Prof. Patrick Jaillet
Level:
Graduate
Lecture 19: The Central Limit Theorem (CLT) (M-I-T)
L19.1 Lecture Overview (M-I-T)
L19.2 The Central Limit Theorem (M-I-T)
L19.3 Discussion of the CLT (M-I-T)
L19.4 Illustration of the CLT (M-I-T)
L19.5 CLT Examples (M-I-T)
L19.6 Normal Approximation to the Binomial (M-I-T)
L19.7 Polling Revisited (M-I-T)