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Reasoning With Data : An Introduction to Traditional and Bayesian Statistics Using R (Paperback)

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About this item

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.
*Technical explanation and equation/output boxes.
*Appendices on how to install R and work with the sample datasets. 
Number of Pages: 325
Genre: Social Science, Medical, Psychology
Format: Paperback
Publisher: Guilford Pubn
Author: Jeffrey M. Stanton
Language: English
Street Date: May 22, 2017
TCIN: 51965653
UPC: 9781462530267
Item Number (DPCI): 248-37-9410
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