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Can I read Reasoning with Data : An Introduction to Traditional and Bayesian Statistics Using R on EtoBox?

Reasoning with Data : An Introduction to Traditional and Bayesian Statistics Using R by Jeffrey M. Stanton is a nonfiction available to read on EtoBox.

What is Reasoning with Data : An Introduction to Traditional and Bayesian Statistics Using R about?

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 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.

Who reads Reasoning with Data : An Introduction to Traditional and Bayesian Statistics Using R?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Jeffrey M. Stanton
Publisher
The Guilford Press
Published
2017
Language
EN
ISBN
9781462530267
Category
nonfiction
Subjects
Medical, Psychology, Education
Rating
4.6 / 5 (24 ratings)
Updated
2026-03-14

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