Which Introductory Statistics Book Offers a Balance of Rigor and Practicality?

AI Thread Summary
For those seeking an introductory statistics book with a degree of rigor, several options are discussed. "The Practice of Statistics" is commonly used in academic settings but is noted for lacking rigor. "Mathematical Statistics with Applications" by Wackerly, Mendenhall, and Scheaffer is mentioned as a solid choice, though opinions on its rigor vary. The "Head First Statistics" book is recommended for its engaging style and supplemental material, despite its unconventional presentation. However, it may not meet the needs of those looking for extensive mathematical proofs. It's highlighted that many rigorous statistics texts assume familiarity with advanced calculus or mathematical analysis, making them less suitable for complete beginners. "Introduction to Mathematical Statistics" by Hogg and Craig is also referenced, particularly for its application-focused approach, though it may not satisfy those seeking a formal treatment of probability theory. Overall, the discussion emphasizes the balance between accessibility and rigor in introductory statistics texts.
thrill3rnit3
Gold Member
Messages
716
Reaction score
1
any ideas on an introductory statistics book with a good deal of rigor?

thanks.
 
Physics news on Phys.org
Hmm I don't know about rigor. But they use this one at my school: The Practice of Statistics.

http://bcs.whfreeman.com/tps3e/default.asp?s=&n=&i=&v=&o=&ns=0&uid=0&rau=0

It's not that rigorous by the way.
 
Last edited by a moderator:
Mathematical Statistics with Applications, 7th edition by Wackerley, Mendenhall, and Scheaffer
 
I know you asked for rigor, and I don't really know what any good books are for that. I used Mathematical Statistics with Applications by Wackerly/Mendenhall/Scheaffer in school, and it was a good book. Not great or bad.

A good introduction to statistics and probability is https://www.amazon.com/dp/0596527586/?tag=pfamazon01-20. Do not write this book off based upon its look of silliness (just look at its reviews). The Head First series are fantastic books (I learned Java and HTML from them). My girlfriend used this book to supplement a mathematical statistics course in her third year, so it obviously has some helpful material. It definitely isn't your standard textbook and it is best to read through it. I cannot recommend the Head First series enough, but I'm not for sure how much rigor (in terms of proofs?) you are wanting.
 
Last edited by a moderator:
I'm not sure if the OP is looking for a mathematical statistics book. Reconciling introductory statistics with real mathematical rigor is not always clear. If I'm not mistaken, many mathematical statistics texts will presume familiarity with advanced calculus or mathematical analysis. Thus, if you've never really studied statistics before (beyond really basic stuff), you might want to look at something more basic than what has been prescribed. Of course, introductory statistics books are usually not mathematically rigorous in the sense that you probably won't see many proofs. But again, I think (though I am not sure) that more rigorous treatments require an appreciable amount of mathematical background.
 
Introduction to Mathematical Statistics by Hogg and Craig is what we used for our course on Probability and Statistics. But this was a course primarily aimed at application -- for engineers. So if you are looking for formal Probability Theory, you may not be satisfied with this book.
 
The book is fascinating. If your education includes a typical math degree curriculum, with Lebesgue integration, functional analysis, etc, it teaches QFT with only a passing acquaintance of ordinary QM you would get at HS. However, I would read Lenny Susskind's book on QM first. Purchased a copy straight away, but it will not arrive until the end of December; however, Scribd has a PDF I am now studying. The first part introduces distribution theory (and other related concepts), which...
I'm looking at a book called python crash course for beginners (eric mathes), does anyone have experience of using this book or any other book that you would recommend for learning python if not that, is there a specific course you'd suggest that isn't in book form? I'm completely new to programming if it helps. So i need a gameplan for learning it quite quickly for my undergrad studies

Similar threads

Back
Top