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 Title Applied Statistics with R
 Author(s) David Dalpiaz
 Publisher: GitHub (2021  Date)
 License(s): CC BYNCSA 4.0
 Hardcover/Paperback N/A
 eBook PDF (417 pages)
 Language: English
 ISBN10: N/A
 ISBN13: N/A
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Book Description
This book provides an integrated treatment of statistical inference techniques in data science using the R Statistical Software. It provides a muchneeded, easytofollow introduction to statistics and the R programming language.
It introduces foundational statistics concepts with beginnerfriendly R programming in an exploration of the world's tricky problems faced by the "R Team" characters
The book provides readers with the conceptual foundation to use applied statistical methods in everyday research. Each statistical method is developed within the context of practical, realworld examples and is supported by carefully developed pedagogy and jargonfree definitions. Theory is introduced as an accessible and adaptable tool and is always contextualized within the pragmatic context of real research projects and definable research questions.
 Complete an introductory course in statistics
 Prepare for more advanced statistical courses
 Gain the transferable analytical skills needed to interpret research from across the social sciences
 Learn the technical skills needed to present data visually
 Acquire a basic competence in the use of R.
 David Dalpiaz is a Teaching Assistant Professor for the Department of Statistics at the University of Illinois at UrbanaChampaign.
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