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Mathematical Statistics (2024): Lecture 13
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The Central Limit Theorem!
In this video:
🔹 Definition of Asymptotic Normality 1:40
🔹 Statement of the Central Limit Theorem 3:03
🔹 Proof of the Central Limit Theorem 6:30
🔹 The CLT is for Sums as Well as Sample Means 27:46
🔹 Probability Computations with the Normal Distribution (z-tables!) 32:10
🔹 The Chi-Squared Distribution 49:07
🔹 Numerical Example of the CLT in Action 59:35
New videos release every Tuesday and Thursday!
----------------------------------------------------------------------------------------------------------------------------------------------
Thanks for watching! Consider checking out my MathStat textbook!
Also, if you are interested in data science, check out my courses on Coursera!
In this video:
🔹 Definition of Asymptotic Normality 1:40
🔹 Statement of the Central Limit Theorem 3:03
🔹 Proof of the Central Limit Theorem 6:30
🔹 The CLT is for Sums as Well as Sample Means 27:46
🔹 Probability Computations with the Normal Distribution (z-tables!) 32:10
🔹 The Chi-Squared Distribution 49:07
🔹 Numerical Example of the CLT in Action 59:35
New videos release every Tuesday and Thursday!
----------------------------------------------------------------------------------------------------------------------------------------------
Thanks for watching! Consider checking out my MathStat textbook!
Also, if you are interested in data science, check out my courses on Coursera!
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