Could you advice a useful internet source in statistics?

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A user seeks recommendations for reliable online resources or books for studying advanced statistics after completing Multivariable Calculus and Linear Algebra. They express frustration over the overwhelming variety of sources available, which often focus on different statistical concepts. Suggestions include the online statistics book at onlinestatbook.com, which offers quizzes and simulations, and the StatSoft textbook, noted for its organized topic buttons. The user appreciates the community's input and finds the recommended sources valuable. Overall, the discussion emphasizes the need for structured and coherent learning materials in statistics.
PinkZeppelin
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Greetings

I became interested in technical sciences only last year (I'm a historian) and started studying on my own. Just finished Multivariable Calculus and Linear algebra with Paul's online math notes. (for those who may know about this page yet: http://tutorial.math.lamar.edu/) Now I'm really eager to study statistics at advanced level. Unfortunately, there are too many sources on web. They are all extremely different from each other and focus on teaching peculiar statistical concept. So I decided PF was a nice place to ask for the advice. Can anyone advice me a useful internet source (or book) in statistics that teaches "right things" in appropriate sequel?

Thanks!
 
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Your sources are absolutely amazing. Thank you!
 
The standard _A " operator" maps a Null Hypothesis Ho into a decision set { Do not reject:=1 and reject :=0}. In this sense ( HA)_A , makes no sense. Since H0, HA aren't exhaustive, can we find an alternative operator, _A' , so that ( H_A)_A' makes sense? Isn't Pearson Neyman related to this? Hope I'm making sense. Edit: I was motivated by a superficial similarity of the idea with double transposition of matrices M, with ## (M^{T})^{T}=M##, and just wanted to see if it made sense to talk...

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