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

Click For Summary

Discussion Overview

The discussion revolves around recommendations for introductory statistics books that balance rigor and practicality. Participants explore various texts, considering their suitability for different backgrounds and needs in statistics education.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant seeks suggestions for an introductory statistics book with a good deal of rigor.
  • Another participant mentions "The Practice of Statistics" as a commonly used text at their school, noting it lacks rigor.
  • A suggestion is made for "Mathematical Statistics with Applications" by Wackerley, Mendenhall, and Scheaffer, though its rigor is not explicitly evaluated.
  • One participant reflects on their experience with "Mathematical Statistics with Applications," describing it as a decent book but not exceptional, and recommends the "Head First" series for its engaging approach, while questioning its rigor.
  • Concerns are raised about the clarity of reconciling introductory statistics with mathematical rigor, suggesting that many mathematical statistics texts may require prior knowledge of advanced calculus or mathematical analysis.
  • A participant recommends "Introduction to Mathematical Statistics" by Hogg and Craig, indicating it is more application-focused, particularly for engineering students, and may not satisfy those seeking formal probability theory.

Areas of Agreement / Disagreement

Participants express differing views on what constitutes an appropriate level of rigor in introductory statistics texts, with no consensus on a single recommended book. The discussion reflects a variety of perspectives on the balance between rigor and practicality.

Contextual Notes

Participants note the potential need for a mathematical background to fully engage with more rigorous texts, and the discussion highlights the variability in rigor across different statistics books.

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.
 

Similar threads

  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 56 ·
2
Replies
56
Views
11K
  • · Replies 17 ·
Replies
17
Views
3K
  • · Replies 19 ·
Replies
19
Views
3K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 12 ·
Replies
12
Views
4K
  • · Replies 33 ·
2
Replies
33
Views
7K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 14 ·
Replies
14
Views
7K