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Mathematical Statistics (2024): Lecture 13
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Mathematical Statistics (MOST CURRENT) - Mathematical Statistics (2024): Lecture 13

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This course includes

  • 38.5 hours of video
  • Certificate of completion
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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! http://www.amazon.com/Simple-Infinite-Joy-Mathematical-Statistics/dp/B0BD1YPQRN Also, if you are interested in data science, check out my courses on Coursera! https://www.coursera.org/specializations/statistical-inference-for-data-science-applications

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