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

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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, teaching notes, and slide decks.
 
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. 
ASIN ‏ : ‎ 1462530265
Publisher ‏ : ‎ The Guilford Press
Publication date ‏ : ‎ May 22, 2017
Edition ‏ : ‎ Annotated
Language ‏ : ‎ English
Print length ‏ : ‎ 325 pages
ISBN-10 ‏ : ‎ 9781462530267
ISBN-13 ‏ : ‎ 978-1462530267
Item Weight ‏ : ‎ 1.28 pounds
Reading age ‏ : ‎ 1 year and up
Dimensions ‏ : ‎ 7 x 0.55 x 10 inches
Best Sellers Rank: #2,295,748 in Books (See Top 100 in Books) #168 in Nursing Research & Theory (Books) #275 in Mathematical & Statistical Software
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