Statistics (The Easier Way) with R: an informal text on applied statistics

by Nicole M. Radziwill

Want to learn R, statistics, or data analysis? Become successful fast with this unique book, which takes the approach of solving all problems analytically (using equations) before solving them using the R statistical software. This combined approach is embedded within a 12-step process for hypothesis testing, which will make statistical inference clearer than ever, while giving you a structured approach for presenting your research results. Most books about applied statistics just focus on the math and theory. Most books about the R statistical software package just focus on executing tests. But in Statistics (The Easier Way) with R, you'll see exactly what computations R is doing under the surface, helping you become a more skilled investigator and data analyst. In addition to being a great introductory text for learning applied statistics or R, Statistics (The Easier Way) with R is also suitable as a supplement for any undergraduate course in introductory or applied statistics, high school AP statistics, or Six Sigma Green Belt and Six Sigma Black Belt candidates.

536 pages, Paperback

First published March 21, 2015

Reviews

[Jim · Rating 5 out of 5]

Excellent easygoing treatment of 1st year statistics using R. Combines use of R well with concepts of statistics.