Sign up ×
Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. It's 100% free, no registration required.

I was recently exposed to some statistical hypothesis testing methods (e.g. Friedman test) at work, and I would like to increase my knowledge on the topic.

Can you suggest a good introduction to statistical significance / statistical hypothesis testing for a computer scientist?

I am thinking of a PDF book or similar, but any other kind of help is welcome.

Edit: I've already found this website but I was looking preferably for some which is easily printable.

Thank you

share|improve this question
+1 I am interested too in an introduction to hypothesis testing. I have read "Introduction to Statistical Thought" by Michael Lavine and found it interesting but it does not cover a lot the subject. – Alessandro Jacopson Jun 29 '11 at 17:21

3 Answers 3

up vote 5 down vote accepted This seems like it would be useful for you.

Full disclosure: I have not read it, but I am working my way through the Think Like a Computer Scientist in Java, and am finding that extremely useful.

share|improve this answer
Great answer, I had already downloaded it, but didn't get through the table of contents, and actually a chapter about hypothesis testing is there for me! – tunnuz Apr 14 '11 at 12:36
However, the book is not covering the topic very widely. – tunnuz Apr 14 '11 at 13:39
@tunnuz - how do you mean not very widely? It seems to cover the basics, and if you grasp all of the material within, you should be well able to move on to more advanced topics. – richiemorrisroe Apr 14 '11 at 15:26

I have found a decent introduction in "STATISTICS: AN INTRODUCTION USING R" by Michael J. Crawley.

There is a site where you can download pdfs

in particular explains t test and Wilcoxon test.

But I am still looking for a better introduction...

share|improve this answer

By far the best I think:

Design of Experiments, Statistical Principles of Research Design and Analysis, 2nd Ed, by Robert O. Kuehl

share|improve this answer

We're looking for long answers that provide some explanation and context. Don't just give a one-line answer; explain why your answer is right, ideally with citations. Answers that don't include explanations may be removed.

Please expand upon this recommendation. Either why you feel it is appropriate or why is is better than some of the other recommendations. – Andy W Dec 19 '11 at 18:36
also your recommendation doesn't have a link to the pdf. – Pinocchio Jan 2 at 22:44
Is it this one? – Pinocchio Jan 2 at 22:46

Your Answer


By posting your answer, you agree to the privacy policy and terms of service.

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