Sampling distributions and the Central Limit Theorem
Back to Home
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
Back to Home
11. Video: Introduction to Notation
Introduction To Notation
Pause
Play
% buffered
00:00
00:00
Unmute
Mute
Disable captions
Enable captions
Settings
Captions
zh-CN
Quality
undefined
Speed
Normal
Captions
Go back to previous menu
Disabled
pt-BR
PT-BR
en
EN
zh-CN
ZH-CN
ar
AR
Quality
Go back to previous menu
Speed
Go back to previous menu
0.5×
0.75×
Normal
1.25×
1.5×
1.75×
2×
Exit fullscreen
Enter fullscreen
Play
Next Concept