I have checked Introduction to statistics for mathematicians question. That is not what I am asking.

I was looking at some book review on the web about statistics. Stat books seems to be written with specific topics on mind. What book contain both theory and takes intuitive approach to teach these following topics(No reference type book please)?

  1. Central tendency and dispersion
  2. Basics of probability(Bayes’ Theorem, Chebyshev’s Inequality)
  3. Random variables and probability Distribution
  4. Linear Regression and Correlation
  5. Test of Significance

I have the book how to lie with statistics which seems a excellent book to strengthen some concept. Also, next year I am going to take a course titled as Theory of Statistics. So, I am not looking for very rigor book ATM. Thanks in advance.

  • 1
    $\begingroup$ What would you say your mathematical maturity is? Are you comfortable with lots of integrals,derivatives, and proofs? $\endgroup$
    – RayVelcoro
    Commented Nov 23, 2015 at 16:05
  • $\begingroup$ Application(not calculation) of calculus is good. Proofs? I do not know my level. Consider as an advanced beginner on it ;) @RayVelcoro $\endgroup$ Commented Nov 23, 2015 at 16:13
  • $\begingroup$ I would recommend this book: amazon.com/Probability-Statistics-Engineers-Scientists-Edition/… $\endgroup$
    – user95564
    Commented Nov 23, 2015 at 16:28
  • $\begingroup$ @RustyStatistician seems like the book I was looking for. $\endgroup$ Commented Nov 23, 2015 at 17:17

2 Answers 2


These are some non-geeky, enjoyable books on data science and statistics:

Finally, in case you are a programmer, this is a must-read:

Programming Collective Intelligence

  • $\begingroup$ +1 Very good quality book list. I don't know whether it is okay here to accept answer which isn't being asked. :) $\endgroup$ Commented Nov 23, 2015 at 17:23
  • 1
    $\begingroup$ @silentboy It is okay. But, you might want to wait some more time before doing so. There might be more nice answers. $\endgroup$
    – Dawny33
    Commented Nov 23, 2015 at 17:24

If you are interested in statistics for Engineers, one of my favorite resources is Miller & Freund's Probability and Statistics for Engineers The linked copy is the latest edition (as of this writing). Earlier editions for personal study should prove more than adequate. This book contains, in a readable and usable manner, everything you are looking for.

Other worthwhile books for engineering statistics would include (but not limited to):

  • Machinery's Handbook published by Industrial Press.
  • Introduction to Statistical Quality Control by Douglas C. Montgomery
  • Quality Control by Dale H. Besterfield
  • Implementing Six Sigma by Forrest W. Breyfogle III
  • Tool and Manufacturing Engineers Handbook: Desk Edition
  • Tool and Manufacturing Engineers Handbook: Volume 4: Quality Control and Assembly
  • Tool and Manufacturing Engineers Handbook: Volume 7: Continuous Improvement

Departing from books based on the theory and math (but still with a fair amount in them), in the name of "Statistics for Engineers" the following resources are also valuable:

  • The Six Sigma Handbook by Thomas Pyzdek (great information in general, but has a focus on how to use Minitab for statistics)
  • Computational Statistics handbook with MATLAB by Martinez and Martinez
  • Applied Statistics: using SPSS, STATISTICA, MATLAB, and R by Joaquim P. Marques de Sá
  • Graphing Data with R by John Jay Hilfinger (Unlike most books on the subject, this is more about using R's data visualization methods, but still briefly covers conducting various tests and data manipulation.)

(As an aside, most functions that can be done in MATLAB can also be done in Octave with no change to the code. Changes required in Octave are well documented on their site and in their packages, all of which are free.)


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.