Lecture notes on statistics and probability Can you suggest some good introductive lecture notes, books and papers on statistics and probability?
thank you, I appreciate it very much.
 A: This is heavily subjective, but here are some books I like and I find useful:


*

*For a soft and very "user-friendly" introduction to statistics and R, through resampling methods, Zieffler, Harring & Long: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118063682

*For a complete tour, Hastie, Tibshirani & Friedman: https://web.stanford.edu/~hastie/ElemStatLearn/

*For linear models, Weisberg: https://www.wiley.com/en-us/Applied+Linear+Regression%2C+4th+Edition-p-9781118386088

*For multivariate analysis, Rencher & Christensen: https://www.wiley.com/en-us/Methods+of+Multivariate+Analysis%2C+3rd+Edition-p-9781118391679
A: In case you entertain the possibility of a video course, here is the link for an
Introductory Statistics course on youtube. 
https://www.youtube.com/watch?v=xxpc-HPKN28&t=28000s
Some advantages of the course: 


*

*It is structured like any other textbook, with time markers for each topic of interest provided.

*One of my favorites - NO ADDs for the entire course.

*The course is based on the following introductory textbook:
Understanding Basic Statistics (Brase & Brase, 2012).

*Course delivered by a social scientist, Monika Wahi.
Anyway, such a mode of learning might not be for everyone, but if it suits you, you should find it useful.  
References
Brase, C. H., & Brase, C. P. (2016). Understanding Basic Statistics (6th ed.). Boston: Houghton Mifflin. 
Monika Wahi's peer-reviewed articles list: https://scholar.google.com/citations?user=v3BDf1oAAAAJ&hl=en
