Sampling distributions and the Central Limit Theorem
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01. Introduction
02. Video: Descriptive vs. Inferential Statistics
03. Quiz: Descriptive vs. Inferential (Udacity Students)
04. Quiz: Descriptive vs. Inferential (Bagels)
05. Text: Descriptive vs. Inferential Statistics
06. Video + Quiz: Introduction to Sampling Distributions Part I
07. Video + Quiz: Introduction to Sampling Distributions Part II
08. Video: Introduction to Sampling Distributions Part III
09. Notebook + Quiz: Sampling Distributions & Python
10. Text: Sampling Distribution Notes
11. Video: Introduction to Notation
12. Video: Notation for Parameters vs. Statistics
13. Quiz: Notation
14. Video: Other Sampling Distributions
15. Video: Two Useful Theorems - Law of Large Numbers
16. Notebook + Quiz: Law of Large Numbers
17. Video: Two Useful Theorems - Central Limit Theorem
18. Notebook + Quiz: Central Limit Theorem
19. Notebook + Quiz: Central Limit Theorem - Part II
20. Video: When Does the Central Limit Theorem Not Work?
21. Notebook + Quiz: Central Limit Theorem - Part III
22. Video: Bootstrapping
23. Video: Bootstrapping & The Central Limit Theorem
24. Notebook + Quiz: Bootstrapping
25. Video: The Background of Bootstrapping
26. Video: Why are Sampling Distributions Important
27. Quiz + Text: Recap & Next Steps
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26. Video: Why are Sampling Distributions Important
Why Are Sampling Distributions Important?
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