Reasoning with Data An Introduction to Traditional and Bayesian Statistics Using R Jeffrey M. Stanton
325 Pages
Size: 7" x 10"
Paperback
May 17, 2017
ISBN 9781462530267
Price: $45.00 $38.25pre-order
Hardcover
May 17, 2017
ISBN 9781462530274
Price: $90.00 $76.50pre-order
PDF e-Book
May 17, 2017
ISBN 9781462530281
Price: $45.00 $38.25coming soon!

Professors: Free copies available for adoption consideration


Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website (www.guilford.com/stanton2-materials)provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources.

Pedagogical Features:
  • Playful, conversational style and gradual approach; suitable for students without strong math backgrounds.
  • End-of-chapter exercises based on real data supplied in the free R package.
  • Technical explanation and equation/output boxes.
  • Appendices on how to install R and work with the sample datasets.
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