logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Statistics An Introduction Using R 2nd Edition Michael J Crawley

  • SKU: BELL-4765614
Statistics An Introduction Using R 2nd Edition Michael J Crawley
$ 35.00 $ 45.00 (-22%)

4.7

16 reviews

Statistics An Introduction Using R 2nd Edition Michael J Crawley instant download after payment.

Publisher: Wiley
File Extension: PDF
File size: 4.93 MB
Pages: 336
Author: Michael J. Crawley
ISBN: 9781118941096, 1118941098
Language: English
Year: 2014
Edition: 2

Product desciption

Statistics An Introduction Using R 2nd Edition Michael J Crawley by Michael J. Crawley 9781118941096, 1118941098 instant download after payment.

"...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006)

A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R

This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range of disciplines. Step-by-step instructions help the non-statistician to fully understand the methodology.  The book covers the full range of statistical techniques likely to be needed to analyse the data from research projects, including elementary material like t--tests and chi--squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.

Includes numerous worked examples and exercises within each chapter.

Related Products