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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 II: Inference & Limit Theorems (M-I-T) » Lecture 19: The Central Limit Theorem (CLT) (M-I-T)

Lecture 19: The Central Limit Theorem (CLT) (M-I-T)

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